{"635513":{"#nid":"635513","#data":{"type":"event","title":"2020 Health \u0026 Humanitarian Logistics Conference (Virtual)","body":[{"value":"\u003Cp\u003EThe COVID-19 Pandemic has caused uncertainty and\u0026nbsp;disruption\u0026nbsp;around the world, but the need to discuss challenges and new solutions in global health delivery, disaster preparedness and response, and long-term development still remains.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow more than ever the world calls for our leadership, our collaboration and our innovation. That is why we\u0026rsquo;ve made the decision to host the\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022HHL 2020 conference\u0022\u003EHHL 2020 Conference\u003C\/a\u003E\u0026nbsp;online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs we approach the conference date, we encourage you to\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/program\/presentations\/overview\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022submitting your presentations\u0022\u003ER\u003C\/a\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/registration\u0022\u003Eegister\u003C\/a\u003E\u0026nbsp;and stay up to date with new developments through our website and email communications. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/program\u0022\u003ELearn More About\u0026nbsp;\u003C\/a\u003E\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/program\u0022\u003E\u003Cstrong\u003EHHL\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe COVID-19 Pandemic has caused uncertainty and\u0026nbsp;disruption\u0026nbsp;around the world, but the need to discuss challenges and new solutions in global health delivery, disaster preparedness and response, and long-term development still remains.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow more than ever the world calls for our leadership, our collaboration and our innovation. That is why we\u0026rsquo;ve made the decision to host the\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/conference\/2020\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022HHL 2020 conference\u0022\u003EHHL2020 Conference\u003C\/a\u003E\u0026nbsp;online. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Together Virtually, Impacting Reality - Pushing the Boundaries of Agility"}],"uid":"34586","created_gmt":"2020-05-19 18:21:20","changed_gmt":"2022-05-18 16:55:34","author":"jcooper90","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-29T11:00:00-04:00","event_time_end":"2020-10-02T14:59:00-04:00","event_time_end_last":"2020-10-02T14:59:00-04:00","gmt_time_start":"2020-09-29 15:00:00","gmt_time_end":"2020-10-02 18:59:00","gmt_time_end_last":"2020-10-02 18:59:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"638415":{"id":"638415","type":"image","title":"12th Annual Conference on Health \u0026 Humanitarian Logistics","body":null,"created":"1598407220","gmt_created":"2020-08-26 02:00:20","changed":"1598407220","gmt_changed":"2020-08-26 02:00:20","alt":"","file":{"fid":"242773","name":"image-HHL2020_square_444px.jpg","image_path":"\/sites\/default\/files\/images\/image-HHL2020_square_444px.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image-HHL2020_square_444px.jpg","mime":"image\/jpeg","size":69883,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image-HHL2020_square_444px.jpg?itok=711licxA"}}},"media_ids":["638415"],"related_links":[{"url":"https:\/\/chhs.gatech.edu\/conference\/2020","title":"Visit the HHL2020 Conference Website"},{"url":"https:\/\/chhs.gatech.edu\/conference\/2020\/registration","title":"Register Now"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"1240","name":"humanitarian logistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ehumlogconf@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"641680":{"#nid":"641680","#data":{"type":"event","title":"ISyE Seminar- Pol Boada-Collado","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EThe Value of Partial Demand Visibility with Commitment\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe investigate the value of short-term demand visibility in the decision process of selecting transportation procurement contracts with temporal commitment, a scenario motivated by industry. With new technological innovations, the temporal commitment of such contracts is shortening, adding more value to short-term demand visibility. In a single distribution lane, we show demand visibility fundamentally changes the contracting policies, increasing the decision-makers\u0026rsquo; willingness to commit to contracts, adapting to observed demand, and coordinating the contracting epochs with expected demand shocks (such as Black Friday). Extending our results to a distribution network, we find demand visibility and flexible capacity are two hedging mechanisms against demand uncertainty for signing procurement contracts with temporal commitment. Previous studies show that, with long temporal commitment, the two mechanisms are substitutes. We show that commitment imposed across a few periods leads to new dynamics in which the two mechanisms act as complements. In contrast to conventional wisdom, when contracts have short commitments, companies have high incentives to combine flexible capacity and demand visibility against demand uncertainty.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPol Boada-Collado is a 5th year Ph.D. candidate in the Department of Industrial Engineering and Management Sciences at Northwestern University, working with Karen Smilowitz and Sunil Chopra. Before his Ph.D., Pol worked as a research assistant at IESE Business School and as a data scientist in the Neuroscience Department of IDIBAPS (Barcelona).\u0026nbsp; During his first summer at Northwestern, Pol did an internship as a supply chain consultant, an industry collaboration that has motivated his doctoral dissertation. His research studies how traditional supply chain models can become more nimble to adapt to market changes such as demand surges or customer behavior trends, with applications to retail and home delivery operations. His research has been published in Transportation Science and M\u0026amp;SOM and has been awarded the Nemhauser Prize for Best Paper.\u0026nbsp; Pol received a Transportation Center Dissertation Year Fellowship and a McCormick Terminal Year Fellowship.\u0026nbsp; Pol served as President and Treasurer of the Northwestern University INFORMS student chapter and received the IEMS Department Award for Exceptional Leadership and Service in recognition of these efforts.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWe investigate the value of short-term demand visibility in the decision process of selecting transportation procurement contracts with temporal commitment, a scenario motivated by industry. With new technological innovations, the temporal commitment of such contracts is shortening, adding more value to short-term demand visibility. In a single distribution lane, we show demand visibility fundamentally changes the contracting policies, increasing the decision-makers\u0026rsquo; willingness to commit to contracts, adapting to observed demand, and coordinating the contracting epochs with expected demand shocks (such as Black Friday). Extending our results to a distribution network, we find demand visibility and flexible capacity are two hedging mechanisms against demand uncertainty for signing procurement contracts with temporal commitment. Previous studies show that, with long temporal commitment, the two mechanisms are substitutes. We show that commitment imposed across a few periods leads to new dynamics in which the two mechanisms act as complements. In contrast to conventional wisdom, when contracts have short commitments, companies have high incentives to combine flexible capacity and demand visibility against demand uncertainty.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The Value of Partial Demand Visibility with Commitment"}],"uid":"34868","created_gmt":"2020-11-30 13:29:16","changed_gmt":"2020-12-09 21:46:48","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-15T11:00:00-05:00","event_time_end":"2020-12-15T12:00:00-05:00","event_time_end_last":"2020-12-15T12:00:00-05:00","gmt_time_start":"2020-12-15 16:00:00","gmt_time_end":"2020-12-15 17:00:00","gmt_time_end_last":"2020-12-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641681":{"#nid":"641681","#data":{"type":"event","title":"ISyE Seminar-Arthur J Delarue","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Policy Analytics in Public School Operations\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGetting students to the right school at the right time can pose a challenge for school districts in the United States, which must balance educational objectives with operational ones, often on a shoestring budget. Examples of such operational challenges include deciding which students should attend, how they should travel to school, and what time classes should start. From an optimizer\u0026rsquo;s perspective, these decision problems are difficult to solve in isolation, and present a formidable challenge to solve together. In this paper, we develop an optimization-based approach to three key problems in school operations: school assignment, school bus routing, and school start time selection. Our methodology is comprehensive, flexible enough to accommodate a variety of problem specifics, and relies on a tractable decomposition approach. In particular, it comprises a new algorithm for jointly scheduling school buses and selecting school start times, that leverages the simplifying assumption of fixed route arrival times to allow for multiple objectives and enhance tractability. We show that our methodology can significantly streamline the operations of Boston Public Schools Extended School Year (ESY) summer program for special education students. Using summer 2019 data, we find that replacing the actual student-to-school assignment with our method could lead to total cost savings of up to 8%. Our models can also be used to quantify the costs and benefits of particular operational policies, providing administrators with an analytics framework to evaluate potential decisions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EArthur Delarue is a fifth-year PhD student in the MIT Operations Research Center, advised by Dimitris Bertsimas. His primary aim as a researcher is to leverage data, optimization, and machine learning, in order to solve practical problems that matter to society. In particular, he is interested in applications of mixed-integer optimization in transportation, machine learning, educational operations and public policy. He is a recipient of the MIT ORC Best Student Paper Award and the William Pierskalla Best Paper Award, as well as a Franz Edelman Laureate.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGetting students to the right school at the right time can pose a challenge for school districts in the United States, which must balance educational objectives with operational ones, often on a shoestring budget. Examples of such operational challenges include deciding which students should attend, how they should travel to school, and what time classes should start. From an optimizer\u0026rsquo;s perspective, these decision problems are difficult to solve in isolation, and present a formidable challenge to solve together. In this paper, we develop an optimization-based approach to three key problems in school operations: school assignment, school bus routing, and school start time selection. Our methodology is comprehensive, flexible enough to accommodate a variety of problem specifics, and relies on a tractable decomposition approach. In particular, it comprises a new algorithm for jointly scheduling school buses and selecting school start times, that leverages the simplifying assumption of fixed route arrival times to allow for multiple objectives and enhance tractability. We show that our methodology can significantly streamline the operations of Boston Public Schools Extended School Year (ESY) summer program for special education students. Using summer 2019 data, we find that replacing the actual student-to-school assignment with our method could lead to total cost savings of up to 8%. Our models can also be used to quantify the costs and benefits of particular operational policies, providing administrators with an analytics framework to evaluate potential decisions.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Policy Analytics in Public School Operations"}],"uid":"34868","created_gmt":"2020-11-30 13:32:28","changed_gmt":"2020-12-09 21:45:57","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-09T16:00:00-05:00","event_time_end":"2020-12-09T17:00:00-05:00","event_time_end_last":"2020-12-09T17:00:00-05:00","gmt_time_start":"2020-12-09 21:00:00","gmt_time_end":"2020-12-09 22:00:00","gmt_time_end_last":"2020-12-09 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641639":{"#nid":"641639","#data":{"type":"event","title":"The fourth Georgia Tech Workshop on Energy Systems and Optimization","body":[{"value":"\u003Cp\u003EAfter three successful workshops in the past three years, we decided to continue to bring communities together to discuss, interact, and work on some of most pressing problems facing energy systems and optimization. The\u0026nbsp;workshop\u0026nbsp;this year will cover a broad range of topics, including power system optimization, uncertainty modeling, control, machine learning, and issues in US and European electricity markets. The confirmed speakers represent national labs in the US, government funding agencies, and major universities in the North America and Europe. Moreover, to make the online workshop engaging, we will have real-time talks, panels, and extensive discussions sessions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt will be a fun time!\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nWe cordially invite you to participate in the\u0026nbsp;workshop. Registration is free for everyone and can be found here: \u003Ca href=\u0022https:\/\/sites.gatech.edu\/eso-2020\/\u0022\u003Ehttps:\/\/sites.gatech.edu\/eso-2020\/\u003C\/a\u003E. Workshop talks and discussions will be recorded. We ask everyone who would like to have their image\/sound recorded to sign a document, which will come in an email after you submit registration.\u0026nbsp; Online meeting links will be made available on the workshop website shortly.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease feel free to email us if you have any questions concerning the workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHope to see you all!\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nOrganizing Committee\u003Cbr \/\u003E\r\nAndy Sun (\u003Ca href=\u0022mailto:andy.sun@isye.gatech.edu\u0022\u003Eandy.sun@isye.gatech.edu\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EValerie Thomas (\u003Ca href=\u0022mailto:Valerie.thomas@isye.gatech.edu\u0022\u003EValerie.thomas@isye.gatech.edu\u003C\/a\u003E)\u003Cbr \/\u003E\r\nPascal Van Hentenryck (\u003Ca href=\u0022mailto:pascal.vanhentryck@isye.gatech.edu\u0022\u003Epascal.vanhentryck@isye.gatech.edu\u003C\/a\u003E)\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nH. Milton Stewart School of Industrial and Systems Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003Cbr \/\u003E\r\nAtlanta, GA 30332\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDear all,\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHope this message finds you well.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe are very excited to announce that the Fourth Georgia Tech Workshop\u0026nbsp;on Energy Systems and Optimization will be held on \u003Cstrong\u003EDecember 10-11, 2020\u003C\/strong\u003E. This year, the workshop will be entirely online.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The fourth Georgia Tech Workshop on Energy Systems and Optimization"}],"uid":"34868","created_gmt":"2020-11-24 17:40:33","changed_gmt":"2020-11-24 17:43:30","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-10T00:00:00-05:00","event_time_end":"2020-12-11T00:00:00-05:00","event_time_end_last":"2020-12-11T00:00:00-05:00","gmt_time_start":"2020-12-10 05:00:00","gmt_time_end":"2020-12-11 05:00:00","gmt_time_end_last":"2020-12-11 05:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631896":{"#nid":"631896","#data":{"type":"event","title":"ISyE Department Seminar - Mark Lewis ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Power and Scheduling in a Parallel Processing Network\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: We consider a parallel processing network with removable servers. Beginning with the single server model with power and service rate control, we study the importance of a delayed restart when the server is off. In particular, we show that an optimal policy exists (under the average cost criterion) that delays restarting until a \u0026ldquo;safety stock\u0026rdquo; of work is in the system. It then behaves similarly to that of the classic service rate control models. With that as the backdrop, we consider scheduling with the ability to remove servers. We introduce \u0026ldquo;delay-JSQ\u0026rdquo; (join the shortest queue) policies, show their stability and asymptotic optimality in the two-server case, and conclude with a detailed numerical study that shows they outperform JSQ by up to 80%. This is joint work with Professor Douglas Down from McMaster University and Dr. Pamela Badian-Pessot (now at Proctor and Gamble).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Professor Lewis received his Ph.D. from Georgia Tech\u0026rsquo;s ISyE department in 1998 (\u003Cstrong\u003Eunder the expert tutelage of Hayriye Ayhan and Bob Foley\u003C\/strong\u003E). He spent a year as a postdoctoral researcher in the Centre for Operations Excellence at the University of British Columbia. Mark\u0026rsquo;s first (tenure track) academic job was at the University of Michigan\u0026rsquo;s Department of Industrial and Operation Engineering. Professor Lewis joined Cornell\u0026rsquo;s School of Operations Research and Information Engineering in 2005. His research interest are at the nexus of dynamic decision-making and stochastic processes, where he splits his time studying Markov decision process theory and dynamic queueing control. Before becoming director of the school in 2019, Mark was appointed Senior Associate Dean for Diversity and Faculty Development in the College of Engineering from 2015 to 2020. Some of his accolades include NSF\u0026rsquo;s Presidential Early Career Award for Science and Engineering (PECASE) and the Sloan Foundation\u0026rsquo;s Mentor of the Year Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWe consider a parallel processing network with removable servers. Beginning with the single server model with power and service rate control, we study the importance of a delayed restart when the server is off. In particular, we show that an optimal policy exists (under the average cost criterion) that delays restarting until a \u0026ldquo;safety stock\u0026rdquo; of work is in the system. It then behaves similarly to that of the classic service rate control models. With that as the backdrop, we consider scheduling with the ability to remove servers. We introduce \u0026ldquo;delay-JSQ\u0026rdquo; (join the shortest queue) policies, show their stability and asymptotic optimality in the two-server case, and conclude with a detailed numerical study that shows they outperform JSQ by up to 80%. This is joint work with Professor Douglas Down from McMaster University and Dr. Pamela Badian-Pessot (now at Proctor and Gamble).\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Power and Scheduling in a Parallel Processing Network"}],"uid":"34868","created_gmt":"2020-01-30 17:23:59","changed_gmt":"2020-11-18 19:07:32","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-19T11:00:00-05:00","event_time_end":"2020-11-19T12:00:00-05:00","event_time_end_last":"2020-11-19T12:00:00-05:00","gmt_time_start":"2020-11-19 16:00:00","gmt_time_end":"2020-11-19 17:00:00","gmt_time_end_last":"2020-11-19 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"628334":{"#nid":"628334","#data":{"type":"event","title":"7th International Physical Internet Conference (IPIC 2020)","body":[{"value":"\u003Ch3\u003EPlease join us for the 7th International Physical Internet Conference taking place November 18-20, 2020 online. The event is hosted by\u0026nbsp;Shenzhen University.\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EIPIC 2020 aims to provide an open forum for researchers, industry representatives, government officials and citizens to together explore, discuss, introduce leading edge concepts, methodologies, recent projects, technological advancements,start-up initiatives, for current and future Physical Internet implementation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EConference topics include inter-connected logistics, PI fundamentals, business models, governance and implementation, cross-chain control, synchromodal transportation, IT systems, stakeholders and their roles. New business models, enabling technologies and experimentations already underway will be presented, making this meeting a unique opportunity to learn, network and discuss the latest results and challenges about interconnected logistics. And, because logistics is global, participants will be from all over the world including researchers, industrial and international institution members, local authorities and standardization committees.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EVisit \u003Ca href=\u0022http:\/\/www.pi.events\u0022 target=\u0022_blank\u0022\u003Ewww.pi.events\u003C\/a\u003E to learn more about the conference\u003C\/strong\u003E.\u003C\/h3\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPlease join us for the 7th International Physical Internet Conference taking place November\u0026nbsp;18-20, 2020 online.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"18th-20th November, 2020 | Online (hosted by Shenzhen University, CHINA)"}],"uid":"27233","created_gmt":"2019-10-30 12:47:41","changed_gmt":"2020-11-11 16:44:36","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-18T08:00:00-05:00","event_time_end":"2020-11-20T17:00:00-05:00","event_time_end_last":"2020-11-20T17:00:00-05:00","gmt_time_start":"2020-11-18 13:00:00","gmt_time_end":"2020-11-20 22:00:00","gmt_time_end_last":"2020-11-20 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"628333":{"id":"628333","type":"image","title":"7th International Physical Internet Conference (IPIC 2020)","body":null,"created":"1572439626","gmt_created":"2019-10-30 12:47:06","changed":"1585329071","gmt_changed":"2020-03-27 17:11:11","alt":"","file":{"fid":"241185","name":"GTSCL-DigitalSignage_IPIC2020_16by9.jpg","image_path":"\/sites\/default\/files\/images\/GTSCL-DigitalSignage_IPIC2020_16by9.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GTSCL-DigitalSignage_IPIC2020_16by9.jpg","mime":"image\/jpeg","size":250304,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GTSCL-DigitalSignage_IPIC2020_16by9.jpg?itok=cknT42f2"}}},"media_ids":["628333"],"related_links":[{"url":"https:\/\/www.pi.events","title":"Conference Website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"},{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"}],"categories":[],"keywords":[{"id":"122741","name":"physical internet"},{"id":"143871","name":"Physical Internet Center"},{"id":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPlease direct questions relating to the conference to\u0026nbsp;\u003Ca href=\u0022mailto:ipic2020@szu.edu.cn\u0022\u003Eipic2020@szu.edu.cn\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639379":{"#nid":"639379","#data":{"type":"event","title":"SCL November 2020 Virtual Supply Chain Day","body":[{"value":"\u003Cp\u003EAs a result of COVID-19, we will hold our second virtual session November 16, 2020 through Career Fair Plus (video chat rooms, virtual candidate screening, easy resume access).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech Supply Chain Students\u003C\/strong\u003E\u003Cbr \/\u003E\r\nPlease plan on joining us for Virtual\u0026nbsp;Supply Chain Day! Visit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/supplychainday\/students\u0022\u003Ehttps:\/\/www.scl.gatech.edu\/supplychainday\/students\u003C\/a\u003E\u0026nbsp;to learn how your can participate online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInterested Organizations\/Recruiters\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are a organization who would like to participate, please email \u003Ca href=\u0022mailto:event@scl.gatech.edu\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;event\u0026nbsp;will host supply chain representatives from\u0026nbsp;\u003Cstrong\u003E\u200b\u200bsupply chain and logistics companies \u003C\/strong\u003Ewho will be on online to educate supply chain students\u0026nbsp;about their organizations, available employment, internships, and capstone project opportunities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage students to act now to seek full-time employment\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E\u0026nbsp;(rather than waiting until the end of the semester).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information relating to the session, please visit\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/supplychainday\u0022\u003Ehttps:\/\/www.scl.gatech.edu\/supplychainday\u003C\/a\u003E\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain and Logistics\u0026nbsp;students, please plan on joining us for our second Virtual\u0026nbsp;Supply Chain Day!\u0026nbsp;If you are a organization who would like to participate, please email event@scl.gatech.edu.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"An event where industry supply chain representatives meet with supply chain students"}],"uid":"27233","created_gmt":"2020-09-22 00:55:45","changed_gmt":"2020-11-10 16:03:26","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-16T08:30:00-05:00","event_time_end":"2020-11-16T17:30:00-05:00","event_time_end_last":"2020-11-16T17:30:00-05:00","gmt_time_start":"2020-11-16 13:30:00","gmt_time_end":"2020-11-16 22:30:00","gmt_time_end_last":"2020-11-16 22:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"639378":{"id":"639378","type":"image","title":"SCL November 2020 Virtual Supply Chain Day","body":null,"created":"1600736077","gmt_created":"2020-09-22 00:54:37","changed":"1600736094","gmt_changed":"2020-09-22 00:54:54","alt":"SCL November 2020 Virtual Supply Chain Day","file":{"fid":"243099","name":"homepage-scday_20201116.jpg","image_path":"\/sites\/default\/files\/images\/homepage-scday_20201116.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/homepage-scday_20201116.jpg","mime":"image\/jpeg","size":72673,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/homepage-scday_20201116.jpg?itok=X0DK4NkA"}}},"media_ids":["639378"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/supplychainday\/students","title":"Instructions for participating students"},{"url":"https:\/\/www.scl.gatech.edu\/supplychainday","title":"About Supply Chain Day"},{"url":"https:\/\/www.scl.gatech.edu","title":"Supply Chain and Logistics Institute website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"},{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"}],"categories":[],"keywords":[{"id":"780","name":"employment"},{"id":"9845","name":"GTSCL"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"},{"id":"1996","name":"Recruiting"},{"id":"5172","name":"career day"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Eevent@scl.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630980":{"#nid":"630980","#data":{"type":"event","title":"SCL Course: World Class Sales and Operations Planning (Online\/Instructor-led)","body":[{"value":"\u003Ch4\u003ECOURSE DESCRIPTION\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThis course focuses on defining, executing, and improving the S\u0026amp;OP process. Participants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of visionary technology to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EWHO SHOULD ATTEND\u003C\/h4\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EChief Operating Officers, Supply Chain, Sales, Marketing and Finance Management Executives (Directors, VPs, EVPs)\u003C\/li\u003E\r\n\t\u003Cli\u003ESupply Chain and Logistics Managers, Consultants, Supervisors, Planners, and Engineers\u003C\/li\u003E\r\n\t\u003Cli\u003ESupply Chain Education and Human Resource Management personnel\u003C\/li\u003E\r\n\t\u003Cli\u003EInventory and Demand Planners\u003C\/li\u003E\r\n\t\u003Cli\u003EProcurement and Sourcing Analysts and Managers\u003C\/li\u003E\r\n\t\u003Cli\u003EManufacturing Planners, Analysts, and Managers\u003C\/li\u003E\r\n\t\u003Cli\u003ESales Operations Managers, Analysts, Planners, Supervisors, Directors\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003EHOW YOU WILL BENEFIT\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EUnderstand the need for an S\u0026amp;OP cycle in a company\u003C\/li\u003E\r\n\t\u003Cli\u003EApply principles key to success of an S\u0026amp;OP process\u003C\/li\u003E\r\n\t\u003Cli\u003EExperience true market examples relevant to their businesses\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003ELEARNING OBJECTIVES\u003C\/h4\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ELearn how to identify and apply best fit S\u0026amp;OP process and technology enablers to your organization and make it a reality based process.\u003C\/li\u003E\r\n\t\u003Cli\u003EWalk through a complete simulated S\u0026amp;OP cycle supported by a technology enabler.\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand the interaction and integration between the financial and operation levels of S\u0026amp;O.\u003C\/li\u003E\r\n\t\u003Cli\u003ELearn the key components of an effective S\u0026amp;OP business case through discussion of real life examples of how companies have benefited from the implementation of best practices in S\u0026amp;OP.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003EWHAT IS COVERED\u003C\/h4\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDefining the S\u0026amp;OP process before adopting technology\u003C\/li\u003E\r\n\t\u003Cli\u003EThe advantages of value based and reality based S\u0026amp;OP\u003C\/li\u003E\r\n\t\u003Cli\u003EWhy S\u0026amp;OP needs to be integrated closely with operational planning\u003C\/li\u003E\r\n\t\u003Cli\u003EWhat is the scope of each role in the S\u0026amp;OP Cycle\u003C\/li\u003E\r\n\t\u003Cli\u003EWhat are the most valuable outputs and results of the S\u0026amp;OP Cycle\u003C\/li\u003E\r\n\t\u003Cli\u003EHow can technology enable companies to take performance to the next level\u003C\/li\u003E\r\n\t\u003Cli\u003EExperience a complete simulated technology-enabled S\u0026amp;OP Cycle\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course focuses on defining, executing, and improving the S\u0026amp;OP process. Participants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of visionary technology to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This course focuses on defining, executing, and improving the S\u0026OP process."}],"uid":"35224","created_gmt":"2020-01-13 19:12:25","changed_gmt":"2020-10-23 15:17:53","author":"gmagana3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-07T08:00:00-05:00","event_time_end":"2020-12-08T12:00:00-05:00","event_time_end_last":"2020-12-08T12:00:00-05:00","gmt_time_start":"2020-12-07 13:00:00","gmt_time_end":"2020-12-08 17:00:00","gmt_time_end_last":"2020-12-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.pe.gatech.edu\/courses\/world-class-sales-and-operations-planning","title":"Course registration page"},{"url":"http:\/\/www.scl.gatech.edu\/wcsop","title":"Course webpage within the SCL website"},{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/downloads\/gtscl-sdpbrochure.pdf","title":"Supply \u0026 Demand Planning Certificate Course Series Flyer"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637297":{"#nid":"637297","#data":{"type":"event","title":"SCL Course: Creating Business Value with Statistical Analysis (Online\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course is the second in the four-course Supply Chain Analytics Professional certificate program. It emphasizes operational performance metrics to align supply chain management with strategic business goals. You\u0026rsquo;ll learn several statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) along with inventory management models. You\u0026rsquo;ll use diagnostic analytics with PowerBI and Python to conduct demand and service profiling, undertake root cause analysis, and use time series forecasting in inventory management.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EUnderstand why and how to align Supply Chain Management (SCM) strategy with business strategy\u003C\/li\u003E\r\n\t\u003Cli\u003ELearn statistics techniques as they relate to SCM\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand inventory management models and how to apply statistics techniques to them\u003C\/li\u003E\r\n\t\u003Cli\u003ECreate time series forecasts based on SCM data\u003C\/li\u003E\r\n\t\u003Cli\u003EUtilize Python and PowerBI to perform statistical analyses, create time series forecasts and visualize results\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EThe importance of aligning SCM and business strategy\u003C\/li\u003E\r\n\t\u003Cli\u003EHow to ask the right business questions as they relate to SCM\u003C\/li\u003E\r\n\t\u003Cli\u003EHow to use statistics to identify issues, compare data, and forecast decision outcomes\u003C\/li\u003E\r\n\t\u003Cli\u003EStatistical\u0026nbsp;concepts including variance analysis and hypothesis testing\u003C\/li\u003E\r\n\t\u003Cli\u003EInventory management models\u003C\/li\u003E\r\n\t\u003Cli\u003EApplying statistics to inventory management models\u003C\/li\u003E\r\n\t\u003Cli\u003EForecasting techniques including time series forecasting\u003C\/li\u003E\r\n\t\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) and inventory management models to improve operational performance metrics and align supply chain management with strategic business goals.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) and inventory management models."}],"uid":"27233","created_gmt":"2020-07-27 19:34:41","changed_gmt":"2020-10-23 15:13:57","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-09T13:00:00-05:00","event_time_end":"2020-11-12T17:00:00-05:00","event_time_end_last":"2020-11-12T17:00:00-05:00","gmt_time_start":"2020-11-09 18:00:00","gmt_time_end":"2020-11-12 22:00:00","gmt_time_end_last":"2020-11-12 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/scabv","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640240":{"#nid":"640240","#data":{"type":"event","title":"Meet the Honoree: Jennifer McKeehan, Women\u0027s Executive Presence in Engineering","body":[{"value":"\u003Cp\u003EJoin the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) and the Georgia Tech Alumni Association as we present Jennifer McKeehan, a member of the inaugural 40 Under 40 honoree class.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIntroduced by ISyE School Chair\u0026nbsp;Edwin Romeijn, McKeehan will talk about being a woman in a male-dominated field and how to leverage your Georgia Tech education to expand your influence.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERegister \u003Ca href=\u0022https:\/\/www.gtalumni.org\/s\/1481\/alumni\/19\/interior.aspx?sid=1481\u0026amp;gid=21\u0026amp;pgid=20005\u0026amp;cid=44137\u0026amp;ecid=44137\u0026amp;crid=0\u0026amp;calpgid=19668\u0026amp;calcid=43501\u0022 title=\u0022https:\/\/www.gtalumni.org\/s\/1481\/alumni\/19\/interior.aspx?sid=1481\u0026amp;gid=21\u0026amp;pgid=20005\u0026amp;cid=44137\u0026amp;ecid=44137\u0026amp;crid=0\u0026amp;calpgid=19668\u0026amp;calcid=43501\u0022\u003Ehere\u003C\/a\u003E\u0026nbsp;for the event on Tuesday, October 20, 2020, at 11:00 a.m.\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A member of the Georgia Tech Alumni Association\u0027s inaugural 40 Under 40 honoree class"}],"uid":"34760","created_gmt":"2020-10-15 16:27:05","changed_gmt":"2020-10-15 16:29:49","author":"Laurie Haigh","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-20T12:00:00-04:00","event_time_end":"2020-10-20T13:00:00-04:00","event_time_end_last":"2020-10-20T13:00:00-04:00","gmt_time_start":"2020-10-20 16:00:00","gmt_time_end":"2020-10-20 17:00:00","gmt_time_end_last":"2020-10-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"637198":{"id":"637198","type":"image","title":"Jennifer McKeehan, IE 05","body":null,"created":"1595444156","gmt_created":"2020-07-22 18:55:56","changed":"1595515319","gmt_changed":"2020-07-23 14:41:59","alt":"Jennifer McKeehan","file":{"fid":"242394","name":"mckeehan-FB.jpg","image_path":"\/sites\/default\/files\/images\/mckeehan-FB.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/mckeehan-FB.jpg","mime":"image\/jpeg","size":614904,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/mckeehan-FB.jpg?itok=MbBPCEhL"}}},"media_ids":["637198"],"related_links":[{"url":"https:\/\/isye.gatech.edu\/news\/four-isye-alumni-inaugural-class-gtaa-40-under-40","title":"Four ISyE Alumni in Inaugural Class of GTAA 40 Under 40"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"15050","name":"40 under 40"},{"id":"185350","name":"Jennifer McKeehan"},{"id":"1235","name":"women in engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:rachael.smith@isye.gatech.edu\u0022\u003ERachael Smith\u003C\/a\u003E\u003Cbr \/\u003E\r\nSenior Development Assistant\u003Cbr \/\u003E\r\nH. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640060":{"#nid":"640060","#data":{"type":"event","title":"ISyE Department Seminar - Laurent Massouli\u00e9","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E In this work we consider alignment of sparse graphs, for which we introduce the Neighborhood Tree Matching Algorithm (NTMA). For correlated Erd\u0151s-R\u0026eacute;nyi random graphs, we prove that the algorithm returns -- in polynomial time -- a positive fraction of correctly matched vertices, and a vanishing fraction of mismatches. This result holds with average degree of the graphs in O(1) and correlation parameter s bounded away from 1, conditions under which random graph alignment is particularly challenging. As a byproduct of the analysis we introduce a matching metric between trees and characterize it for several models of correlated random trees. These results may be of independent interest, yielding for instance efficient tests for determining whether two random trees are correlated or independent.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Laurent Massouli\u0026eacute; is research director at Inria, head of the Microsoft Research \u0026ndash; Inria Joint Centre, and professor at the Applied Maths Centre of Ecole Polytechnique. His research interests are in machine learning, probabilistic modelling and algorithms for networks. He has held research scientist positions at: France Telecom, Microsoft Research, Thomson-Technicolor, where he headed the Paris Research Lab. He obtained best paper awards at IEEE INFOCOM 1999, ACM SIGMETRICS 2005, ACM CoNEXT 2007, NeurIPS 2018, was elected \u0026quot;Technicolor Fellow\u0026quot; in 2011, received the \u0026nbsp;\u0026quot;Grand Prix Scientifique\u0026quot; of the Del Duca Foundation delivered by the French Academy of Science in 2017, and is a Fellow of the \u0026ldquo;Prairie\u0026rdquo; Institute.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETitle: From tree matching to graph alignment\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoint work with Luca Ganassali\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this work we consider alignment of sparse graphs, for which we introduce the Neighborhood Tree Matching Algorithm (NTMA). For correlated Erd\u0151s-R\u0026eacute;nyi random graphs, we prove that the algorithm returns -- in polynomial time -- a positive fraction of correctly matched vertices, and a vanishing fraction of mismatches. This result holds with average degree of the graphs in O(1) and correlation parameter s bounded away from 1, conditions under which random graph alignment is particularly challenging. As a byproduct of the analysis we introduce a matching metric between trees and characterize it for several models of correlated random trees. These results may be of independent interest, yielding for instance efficient tests for determining whether two random trees are correlated or independent.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"From tree matching to graph alignment "}],"uid":"34868","created_gmt":"2020-10-09 17:51:38","changed_gmt":"2020-10-09 17:51:38","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-22T12:00:00-04:00","event_time_end":"2020-10-22T13:00:00-04:00","event_time_end_last":"2020-10-22T13:00:00-04:00","gmt_time_start":"2020-10-22 16:00:00","gmt_time_end":"2020-10-22 17:00:00","gmt_time_end_last":"2020-10-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/bluejeans.com\/717228561","title":""}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638919":{"#nid":"638919","#data":{"type":"event","title":"ISyE Department Seminar - Yehua Wei","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003ETitle: \u003C\/strong\u003EA New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EIn this talk, we introduce a new approach for the vehicle routing problem with stochastic demands for the case in which customer demands are revealed before vehicles are dispatched. Our approach combines ideas from vehicle routing and manufacturing process flexibility to propose overlapped routing strategies with customer sharing. We characterize the asymptotic performance of the overlapped routing strategies under probabilistic analysis. Using the characterization, we demonstrate that our overlapped routing strategies perform close to the theoretical lower-bound derived from the reoptimization strategy, and significantly outperforms the routing strategy without overlapped routes. Furthermore, we verify effectiveness of the proposed overlapped routing strategies in non-asymptotic regimes through numerical analysis. This is joint work with Kirby Ledvina, Hanzhang Qin, and David Simchi-Levi.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYehua Wei is an Associate Professor in Decision Sciences at Duke University. His research interest includes optimizing decisions under uncertainty, designing sparse resource pooling systems, and strategic customers in queueing networks. His research has won a number of awards, including second place in the 2011 George Nicholson Paper Competition, winner of the 2014 Daniel H. Wagner Prize for Excellence in Operations Research Practice, winner of the 2019 Service Management SIG Prize, and finalist of the 2019 M\u0026amp;SOM Practice-Based Paper Competition.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIn this talk, we introduce a new approach for the vehicle routing problem with stochastic demands for the case in which customer demands are revealed before vehicles are dispatched. Our approach combines ideas from vehicle routing and manufacturing process flexibility to propose overlapped routing strategies with customer sharing. We characterize the asymptotic performance of the overlapped routing strategies under probabilistic analysis. Using the characterization, we demonstrate that our overlapped routing strategies perform close to the theoretical lower-bound derived from the reoptimization strategy, and significantly outperforms the routing strategy without overlapped routes. Furthermore, we verify effectiveness of the proposed overlapped routing strategies in non-asymptotic regimes through numerical analysis. This is joint work with Kirby Ledvina, Hanzhang Qin, and David Simchi-Levi.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility "}],"uid":"34868","created_gmt":"2020-09-10 12:01:44","changed_gmt":"2020-10-05 12:40:51","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-08T12:00:00-04:00","event_time_end":"2020-10-08T13:00:00-04:00","event_time_end_last":"2020-10-08T13:00:00-04:00","gmt_time_start":"2020-10-08 16:00:00","gmt_time_end":"2020-10-08 17:00:00","gmt_time_end_last":"2020-10-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/bluejeans.com\/948275674","title":""}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638918":{"#nid":"638918","#data":{"type":"event","title":"ISyE Department Seminar - Paul Harper","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;OR Saves Lives!\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Healthcare systems are stochastic in nature; that is they typically operate in an environment of uncertainty and variability, both at scale and within highly complex and connected networks.\u0026nbsp; Furthermore, many healthcare services are under significant pressure to deliver more with less.\u0026nbsp; OR and analytical methods can help healthcare providers move towards optimally configured services.\u0026nbsp; Literally it can help save lives, for example in a major London hospital our research completely redesigned the care for stroke patients, which resulted in a reduction in mortality rates by 60%.\u0026nbsp; In this talk I will provide an overview of some current and recent OR healthcare modelling projects by the team at Cardiff University, highlighting different OR methodologies (especially those relating to behavioural models) and demonstrating impact. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Professor Paul Harper\u0026nbsp;is Professor of Operational Research in the School of Mathematics at Cardiff University, Deputy Head of School, and Director of the University\u0026rsquo;s Data Innovation Research Institute. His research interests are in stochastic OR, including queueing theory, simulation methods, optimisation and game theory, and applications to healthcare. Author of more than 90 peer-reviewed papers and book chapters, Paul has been a named investigator on \u0026pound;11million of funded research grants, recipient of a Times Higher Education award for \u0026lsquo;Outstanding Contribution to Innovation and Technology, founding editor-in-chief of the international journal Health Systems (Taylor \u0026amp; Francis) and Director of Health Modelling Centre Cymru. He is also an elected Fellow of the Learned Society of Wales (FLSW) and recipient of the 2018 \u0026#39;Companion of OR\u0026#39; Award (The UK OR Society).\u0026nbsp; \u003Ca href=\u0022http:\/\/profpaulharper.com\u0022\u003Eprofpaulharper.com\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Healthcare systems are stochastic in nature; that is they typically operate in an environment of uncertainty and variability, both at scale and within highly complex and connected networks.\u0026nbsp; Furthermore, many healthcare services are under significant pressure to deliver more with less.\u0026nbsp; OR and analytical methods can help healthcare providers move towards optimally configured services.\u0026nbsp; Literally it can help save lives, for example in a major London hospital our research completely redesigned the care for stroke patients, which resulted in a reduction in mortality rates by 60%.\u0026nbsp; In this talk I will provide an overview of some current and recent OR healthcare modelling projects by the team at Cardiff University, highlighting different OR methodologies (especially those relating to behavioural models) and demonstrating impact. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"OR Saves Lives!"}],"uid":"34868","created_gmt":"2020-09-10 11:59:40","changed_gmt":"2020-09-28 20:07:53","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-01T12:00:00-04:00","event_time_end":"2020-10-01T13:00:00-04:00","event_time_end_last":"2020-10-01T13:00:00-04:00","gmt_time_start":"2020-10-01 16:00:00","gmt_time_end":"2020-10-01 17:00:00","gmt_time_end_last":"2020-10-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638920":{"#nid":"638920","#data":{"type":"event","title":"ISyE Department Seminar - Sasha Stolyar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Discrete-time TASEP with holdback\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract:\u003C\/strong\u003E We study a discrete-time interacting particle system, which can be called a totally asymmetric simple exclusion process with holdback (TASEP-H). There are rho*n particles, rho \u0026lt; 1, moving clockwise, in discrete time, on n sites arranged in a circle. The \u0026ldquo;holdback\u0026quot; refers to the property that the probability of a particle moving forward to a vacant site depends on the presence of a particle immediately \u0026ldquo;behind\u0026rdquo; it. The model is motivated by a communication network with packets moving along a sequence of nodes under a \u0026ldquo;standard\u0026rdquo; random access algorithm. Another motivation is a slow-to-start model of car traffic. We focus on the dependence of the steady-state flux (throughput) on the density rho, when n is large. We show that when rho exceeds a certain threshold, a phase transition occurs in that large particle clusters are formed and persist, making the \u0026quot;typical\u0026quot; flux different from the formal one. (Joint work with Seva Shneer, Heriot-Watt Univ.)\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio:\u003C\/strong\u003E Since 2017 Aleksandr Stolyar is a Founder Professor in the ISE Department and Coordinated Science Lab at UIUC. His research interests are in stochastic processes, queueing theory, and stochastic modeling of information, communication and service systems. He received Ph.D. in Mathematics from the Institute of Control Science, Moscow, in 1989, and was a research scientist at the Institute of Control Science in 1989-1991. In 1992-1998 he was working on stochastic models in telecommunications at Motorola and AT\u0026amp;T Research. From 1998 to 2014 he was with the Bell Labs Mathematical Sciences Research, Murray Hill, New Jersey, working on stochastic networks and resource allocation problems in a variety of applications, including wireless and wireline communications, service systems, network clouds. In 2014-2016 he was a Timothy J. Wilmott Endowed Chair Professor in the ISE Department at Lehigh University. He received INFORMS Applied Probability Society 2004 Best Publication award, SIGMETRICS\u0026#39;96 Best Paper award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWe study a discrete-time interacting particle system, which can be called a totally asymmetric simple exclusion process with holdback (TASEP-H). There are rho*n particles, rho \u0026lt; 1, moving clockwise, in discrete time, on n sites arranged in a circle. The \u0026ldquo;holdback\u0026quot; refers to the property that the probability of a particle moving forward to a vacant site depends on the presence of a particle immediately \u0026ldquo;behind\u0026rdquo; it. The model is motivated by a communication network with packets moving along a sequence of nodes under a \u0026ldquo;standard\u0026rdquo; random access algorithm. Another motivation is a slow-to-start model of car traffic. We focus on the dependence of the steady-state flux (throughput) on the density rho, when n is large. We show that when rho exceeds a certain threshold, a phase transition occurs in that large particle clusters are formed and persist, making the \u0026quot;typical\u0026quot; flux different from the formal one. (Joint work with Seva Shneer, Heriot-Watt Univ.)\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Discrete-time TASEP with holdback"}],"uid":"34868","created_gmt":"2020-09-10 12:09:13","changed_gmt":"2020-09-28 19:28:48","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-15T12:00:00-04:00","event_time_end":"2020-10-15T13:00:00-04:00","event_time_end_last":"2020-10-15T13:00:00-04:00","gmt_time_start":"2020-10-15 16:00:00","gmt_time_end":"2020-10-15 17:00:00","gmt_time_end_last":"2020-10-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637091":{"#nid":"637091","#data":{"type":"event","title":"SCL September 2020 Virtual Supply Chain Day","body":[{"value":"\u003Cp\u003EAs a result of COVID-19, we will hold our first virtual session September 15, 2020 through Career Fair Plus (video chat rooms, virtual candidate screening, easy resume access).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech Supply Chain Students\u003C\/strong\u003E\u003Cbr \/\u003E\r\nPlease plan on joining us for our first Virtual\u0026nbsp;Supply Chain Day! Visit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/supplychainday\/students\u0022\u003Ehttps:\/\/www.scl.gatech.edu\/supplychainday\/students\u003C\/a\u003E\u0026nbsp;to learn how your can participate online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInterested Organizations\/Recruiters\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are a organization who would like to participate, please email \u003Ca href=\u0022mailto:event@scl.gatech.edu\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;event\u0026nbsp;will host supply chain representatives from\u0026nbsp;\u003Cstrong\u003E\u200b\u200b\u003Ca href=\u0022https:\/\/castellinicompany.com\/\u0022\u003ECastellini Company\u003C\/a\u003E\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.chainalytics.com\/\u0022\u003EChainalytics\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.cummins.com\/\u0022\u003ECummins\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.dematicjobs.com\/\u0022\u003EDematic\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/deposco.com\/\u0022\u003EDeposco\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.diageo.com\/\u0022\u003EDiageo North America\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.kinaxis.com\/\u0022\u003EKinaxis\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/micron.eightfold.ai\/careers\u0022\u003EMicron Technology\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/www.motionindustries.com\/\u0022\u003EMotion Industries\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.nscorp.com\u0022\u003ENorfolk Southern\u003C\/a\u003E,\u0026nbsp; \u003Ca href=\u0022https:\/\/www.novelis.com\/\u0022\u003ENovelis\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022http:\/\/www.jobs.omp.com\u0022\u003EOM Partners\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/ortec.com\/en-us\u0022\u003EORTEC International USA\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/www.parker.com\/portal\/site\/PARKER\/menuitem.b90576e27a4d71ae1bfcc510237ad1ca\/?vgnextoid=c38888b5bd16e010VgnVCM1000000308a8c0RCRD\u0026amp;vgnextfmt=EN\u0022\u003EParker Hannifin Corporation\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.sf-tech.com.cn\/en\u0022\u003ESF Technology\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siemens-healthineers.com\/en-us\/about\u0022\u003ESiemens Healthineers\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/www.smith-nephew.com\/\u0022\u003ESmith \u0026amp; Nephew\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/www.stord.com\u0022\u003ESTORD\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/careers.homedepot.com\/\u0022\u003EThe Home Depot\u003C\/a\u003E, \u003Ca href=\u0022http:\/\/www.vectorgl.com\/\u0022\u003EVector Global Logistics\u003C\/a\u003E, and\u0026nbsp;\u003Ca href=\u0022https:\/\/verusen.com\u0022\u003EVerusen (Autit, Inc)\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;who will be on online to educate supply chain students\u0026nbsp;about their organizations, available employment, internships, and capstone project opportunities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage students to act now to seek full-time employment\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E\u0026nbsp;(rather than waiting until the end of the semester).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain and Logistics\u0026nbsp;students, please plan on joining us for our first Virtual\u0026nbsp;Supply Chain Day!\u0026nbsp;If you are a organization who would like to participate, please email event@scl.gatech.edu.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"An event where industry supply chain representatives meet with supply chain students"}],"uid":"27233","created_gmt":"2020-07-17 21:30:18","changed_gmt":"2020-09-10 14:12:29","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-15T09:30:00-04:00","event_time_end":"2020-09-15T18:30:00-04:00","event_time_end_last":"2020-09-15T18:30:00-04:00","gmt_time_start":"2020-09-15 13:30:00","gmt_time_end":"2020-09-15 22:30:00","gmt_time_end_last":"2020-09-15 22:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"637126":{"id":"637126","type":"image","title":"SCL September 2020 Virtual Supply Chain Day","body":null,"created":"1595299682","gmt_created":"2020-07-21 02:48:02","changed":"1595299682","gmt_changed":"2020-07-21 02:48:02","alt":"SCL September 2020 Virtual Supply Chain Day","file":{"fid":"242367","name":"homepage-VSCDay-600px.jpg","image_path":"\/sites\/default\/files\/images\/homepage-VSCDay-600px.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/homepage-VSCDay-600px.jpg","mime":"image\/jpeg","size":65836,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/homepage-VSCDay-600px.jpg?itok=bKi-Qkc_"}}},"media_ids":["637126"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/supplychainday\/students","title":"Instructions for participating students"},{"url":"https:\/\/www.scl.gatech.edu\/supplychainday","title":"About Supply Chain Day"},{"url":"https:\/\/www.scl.gatech.edu","title":"Supply Chain and Logistics Institute website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"780","name":"employment"},{"id":"9845","name":"GTSCL"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"},{"id":"1996","name":"Recruiting"},{"id":"5172","name":"career day"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Eevent@scl.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"638882":{"#nid":"638882","#data":{"type":"event","title":"ISyE Department Seminar - Adam Elmachtoub","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Contextual Optimization: Bridging Machine Learning and Operations\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Many operations problems are associated with some form of a prediction problem. For instance, one cannot solve a supply chain problem without predicting demand. One cannot solve a shortest path problem without predicting travel times. One cannot solve a personalized pricing problem without predicting consumer valuations. In each of these problems, each instance is characterized by a context (or features). For instance, demand depends on prices and trends, travel times depend on weather and holidays, and consumer valuations depend on user demographics and click history. In this talk, we review recent results on how to solve such contextual optimization problems, with a particular emphasis on techniques that blend the prediction and decision tasks together.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Adam Elmachtoub is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute. His research spans two major themes: (i) designing machine learning and personalization methods to make informed decisions in industries such as retail, logistics, and travel (ii) new models and algorithms for revenue and supply chain management in modern e-commerce and service systems. He received his B.S. degree from Cornell and his Ph.D. from MIT, both in operations research. He spent one year as a postdoc at the IBM T.J. Watson Research Center working in the area of Smarter Commerce. He has received an NSF CAREER Award, an IBM Faculty Award, and was on Forbes 30 under 30 in science.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMany operations problems are associated with some form of a prediction problem. For instance, one cannot solve a supply chain problem without predicting demand. One cannot solve a shortest path problem without predicting travel times. One cannot solve a personalized pricing problem without predicting consumer valuations. In each of these problems, each instance is characterized by a context (or features). For instance, demand depends on prices and trends, travel times depend on weather and holidays, and consumer valuations depend on user demographics and click history. In this talk, we review recent results on how to solve such contextual optimization problems, with a particular emphasis on techniques that blend the prediction and decision tasks together.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Contextual Optimization: Bridging Machine Learning and Operations"}],"uid":"34868","created_gmt":"2020-09-09 18:02:44","changed_gmt":"2020-09-09 18:02:44","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-17T12:00:00-04:00","event_time_end":"2020-09-17T13:00:00-04:00","event_time_end_last":"2020-09-17T13:00:00-04:00","gmt_time_start":"2020-09-17 16:00:00","gmt_time_end":"2020-09-17 17:00:00","gmt_time_end_last":"2020-09-17 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638694":{"#nid":"638694","#data":{"type":"event","title":"ISyE Department Seminar - Linwei Xin","body":[{"value":"\u003Cp\u003EThe boom of e-commerce in the globe in recent years has expedited the expansion of fulfillment infrastructures by e-retailers. While e-retailers are building more warehouses to offer faster delivery service than ever, the associated fulfillment costs have skyrocketed over the past decade. In this paper, we study the problem of minimizing fulfillment costs, in which an e-retailer must decide which warehouse(s) to fulfill each order from, subject to warehouses\u0026rsquo; inventory constraints. The e-retailer can split an order, at an additional cost, and fulfill it from different warehouses. It is notoriously challenging to make effective real-time fulfillment decisions at the occurrence of order split, which has become a major problem for e-retailers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe focus on a two-layer distribution network that has been implemented in practice by major e-retailers. We analyze the performance of fulfillment policies that do not rely on demand forecasts. We show that, under an assumption that aligns with the practice of most e-retailers, a myopic policy achieves a constant performance ratio compared to an optimal clairvoyant algorithm. We further show that this ratio is tight. More generally, we characterize the performance guarantees of the myopic policy in terms of the cost param- eters of the model. Finally, we complement our theoretical results by conducting a numerical study and demonstrate the good performance of the myopic policy.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is joint work with\u0026nbsp;Xinshang Wang (Alibaba) and\u0026nbsp;Yanyang Zhao (Chicago Booth).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELinwei Xin is an assistant professor of Operations Management at the University of Chicago Booth School of Business. He\u0026nbsp;graduated from ISyE in 2015,\u0026nbsp;advised by\u0026nbsp;David A. Goldberg and Alexander Shapiro.\u0026nbsp;His research interests include supply chain, inventory and revenue management, optimization under uncertainty, and data-driven decision-making. His work has been recognized with several INFORMS paper competition awards, including the 2019 Applied Probability Society Best Publication Award, First Place in the 2015 George E. Nicholson Student Paper Competition, Second Place in the 2015 Junior Faculty Interest Group Paper Competition, and a finalist in the 2014 Manufacturing and Service Operations Management Student Paper Competition. His research has been published in journals such as Operations Research and Management Science. He won a NSF grant as PI. He also has worked with companies\/organizations through research collaboration including Alibaba Group and Walmart Global eCommerce.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe boom of e-commerce in the globe in recent years has expedited the expansion of fulfillment infrastructures by e-retailers. While e-retailers are building more warehouses to offer faster delivery service than ever, the associated fulfillment costs have skyrocketed over the past decade. In this paper, we study the problem of minimizing fulfillment costs, in which an e-retailer must decide which warehouse(s) to fulfill each order from, subject to warehouses\u0026rsquo; inventory constraints. The e-retailer can split an order, at an additional cost, and fulfill it from different warehouses. It is notoriously challenging to make effective real-time fulfillment decisions at the occurrence of order split, which has become a major problem for e-retailers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe focus on a two-layer distribution network that has been implemented in practice by major e-retailers. We analyze the performance of fulfillment policies that do not rely on demand forecasts. We show that, under an assumption that aligns with the practice of most e-retailers, a myopic policy achieves a constant performance ratio compared to an optimal clairvoyant algorithm. We further show that this ratio is tight. More generally, we characterize the performance guarantees of the myopic policy in terms of the cost param- eters of the model. Finally, we complement our theoretical results by conducting a numerical study and demonstrate the good performance of the myopic policy.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is joint work with\u0026nbsp;Xinshang Wang (Alibaba) and\u0026nbsp;Yanyang Zhao (Chicago Booth).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/717228561\u0022\u003Ehttps:\/\/bluejeans.com\/717228561\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Multi-Item Online Order Fulfillment: A Competitive Analysis"}],"uid":"34868","created_gmt":"2020-09-02 13:59:11","changed_gmt":"2020-09-02 14:05:45","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-03T12:00:00-04:00","event_time_end":"2020-09-03T13:00:00-04:00","event_time_end_last":"2020-09-03T13:00:00-04:00","gmt_time_start":"2020-09-03 16:00:00","gmt_time_end":"2020-09-03 17:00:00","gmt_time_end_last":"2020-09-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/bluejeans.com\/717228561","title":""}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/717228561\u0022\u003Ehttps:\/\/bluejeans.com\/717228561\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637296":{"#nid":"637296","#data":{"type":"event","title":"SCL Course: Transforming Supply Chain Management and Performance Analysis (Virtual-Instructor led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course is the first in the four-course Supply Chain Analytics Professional certificate program. It prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. You\u0026rsquo;ll learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you\u0026rsquo;ll learn about data cleansing, exploratory data analysis, and visualization. You\u0026rsquo;ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EUnderstand the most relevant planning challenges across the strategic, tactical, and operational levels of supply chains\u003C\/li\u003E\r\n\t\u003Cli\u003ELearn the difference between analytics types, the links between them, and how to best use them to improve\u0026nbsp;supply chain management (SCM)\u0026nbsp;processes\u003C\/li\u003E\r\n\t\u003Cli\u003EUse\u0026nbsp;Key Performance Indicators (KPIs)\u0026nbsp;to find causes of underperformance in supply chains and to plan for analytics projects that will address strategic SCM goals\u003C\/li\u003E\r\n\t\u003Cli\u003EUtilize Python and PowerBI to understand, visualize, and analyze data in order to prepare for deeper analytics\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EThe role of analytics in SCM\u003C\/li\u003E\r\n\t\u003Cli\u003ETypes of analytics (descriptive, diagnostic, predictive, and prescriptive) and the relationships between them\u003C\/li\u003E\r\n\t\u003Cli\u003EPreprocessing (cleaning and integrating) data as it relates to SCM\u003C\/li\u003E\r\n\t\u003Cli\u003EConducting exploratory data analysis on supply chain data\u003C\/li\u003E\r\n\t\u003Cli\u003EBest practices for visualizing data and building dashboards\u003C\/li\u003E\r\n\t\u003Cli\u003EIdentifying and analyzing KPIs of SCM\u003C\/li\u003E\r\n\t\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you\u0026rsquo;ll learn about data cleansing, exploratory data analysis, and visualization. You\u0026rsquo;ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn to apply leading-edge analytical methods and technology enablers across the supply chain"}],"uid":"27233","created_gmt":"2020-07-27 19:28:47","changed_gmt":"2020-07-27 19:29:12","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-05T14:00:00-04:00","event_time_end":"2020-10-08T18:00:00-04:00","event_time_end_last":"2020-10-08T18:00:00-04:00","gmt_time_start":"2020-10-05 18:00:00","gmt_time_end":"2020-10-08 22:00:00","gmt_time_end_last":"2020-10-08 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/scapa","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635422":{"#nid":"635422","#data":{"type":"event","title":"SCL Course: Financial Decision Making (Virtual-Instructor led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThe course is designed to help\u0026nbsp;participants understand\u0026nbsp;how decisions impact\u0026nbsp;financial performance, identify\u0026nbsp;initiatives to improve company performance, and build better business cases with the overall goal of\u0026nbsp;improving financial acumen\u0026nbsp;and decision-making.\u0026nbsp;The course utilizes hands-on applications, group discussion, and exercises.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe course is comprised of (3) 90-minute instructor-led LIVE group webinars\u0026nbsp;(Sept 9, 16 , 23 | 1:30-3pm EDT)\u0026nbsp;with each webinar requiring (1) 90-minute session\u0026nbsp;of online course work to be completed\u0026nbsp;before each webinar (total of 9 hours). Participants will be able to access the online \u0026quot;pre-work\u0026quot;\u0026nbsp;material Wednesday, August 26th. \u003Cem\u003E\u003Cstrong\u003EPlease note that the course begins September 9, 2020 and participants must participate in all LIVE webinars.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EEarly or middle stage career professionals who are or will be responsible for executing organizational strategy tied to an integrated view of the organization (including professionals from distribution and logistics, production, and operations).\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EEnhance your\u0026nbsp;financial acumen\u003C\/li\u003E\r\n\t\u003Cli\u003EGain a framework for better managing financial performance\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand how faster decision-making can help more quickly capture business and financial benefits\u003C\/li\u003E\r\n\t\u003Cli\u003EObtain practical experience relating to putting together a business case for a real project\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EThe measures (return, cash flow, etc.) and key drivers (revenue, profitability, asset utilization) of financial performance\u003C\/li\u003E\r\n\t\u003Cli\u003EThe \u0026lsquo;Power of One\u0026rsquo; \u0026ndash; the impact of improving any financial metric by 1% (e.g. 1% increase in revenue, 1% decrease in cost of goods sold \u0026amp; 1-day reduction in inventory)\u003C\/li\u003E\r\n\t\u003Cli\u003EHow improvement in operational key performance indicators (KPIs) improves cash flow and overall financial performance, and how to better manage activities that impact operational KPIs.\u003C\/li\u003E\r\n\t\u003Cli\u003EBuilding a business case (strategic fit, critical success factors, change management, intangible benefits, financial criteria e.g., cash flow, payback, NPV and breakeven analysis) and using a business case as a project plan\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003EWebinar 1\u0026ndash; Managing Financial Performance\u003C\/h4\u003E\r\n\r\n\u003Ch5\u003EObjectives\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDevelop deeper understanding of the importance and drivers of financial performance\u003C\/li\u003E\r\n\t\u003Cli\u003EHow it is influenced by individual decisions and collectively as a team\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003EPre-work\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EReview Financial Acumen eLearning\u003C\/li\u003E\r\n\t\u003Cli\u003EIdentify the areas of financial performance they are responsible for managing\u003C\/li\u003E\r\n\t\u003Cli\u003EExamples of decisions that impact a company\u0026rsquo;s overall performance\u003C\/li\u003E\r\n\t\u003Cli\u003EAnalysis of\u0026nbsp;company\u0026nbsp;(or company of choice) financial performance using FinListics ClientIQ.\u003C\/li\u003E\r\n\t\u003Cli\u003EPre-work submitted prior to webinar 1 for review by facilitator.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003ETopics\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EOverall measures of performance (return, cash flow, etc.)\u003C\/li\u003E\r\n\t\u003Cli\u003EKey drivers of financial performance\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ERevenue\u003C\/li\u003E\r\n\t\t\u003Cli\u003EProfitability\u003C\/li\u003E\r\n\t\t\u003Cli\u003EAsset utilization\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EActivity: Analyze financial performance \u0026ndash; trend, peer, and industry\u003C\/li\u003E\r\n\t\u003Cli\u003EActivity:\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EPower of One - what are cash flow benefits from improvements in:\r\n\t\t\u003Cul\u003E\r\n\t\t\t\u003Cli\u003EFinancial metrics by 1% (e.g. 1% increase in revenue, 1% decrease in cost of goods sold)\u003C\/li\u003E\r\n\t\t\t\u003Cli\u003ECapital Utilization (e.g. 1-day reduction in inventory)\u003C\/li\u003E\r\n\t\t\u003C\/ul\u003E\r\n\t\t\u003C\/li\u003E\r\n\t\t\u003Cli\u003EGap Analyses\r\n\t\t\u003Cul\u003E\r\n\t\t\t\u003Cli\u003EImprovement in financial metric to best performing year or best performing peer\u003C\/li\u003E\r\n\t\t\u003C\/ul\u003E\r\n\t\t\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EKey take-aways and how participants will apply what they have learned\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003EWebinar 2 \u0026ndash; Improving Financial Performance\u003C\/h4\u003E\r\n\r\n\u003Ch5\u003EObjectives\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDevelop deeper understanding of how improvement in operational key performance indicators (KPIs) improve cash flow and overall financial performance\u003C\/li\u003E\r\n\t\u003Cli\u003EExplain how participants can better manage activities impacting operational KPIs\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003EPre-work\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIdentify operational KPIs they help manage\u003C\/li\u003E\r\n\t\u003Cli\u003EIdentify initiatives to improve operational KPIs\u003C\/li\u003E\r\n\t\u003Cli\u003EPre-work submitted prior to webinar 2 for review by facilitator.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003ETopics\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EFramework for better managing financial performance\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EFinancial metrics -\u0026gt; business processes -\u0026gt; activities and tasks -\u0026gt; operational KPIs\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EActivity: Identify KPIs participant\u0026rsquo;s company is most focused on improving (e.g., materials, labor, closure rate, employee turnover, etc. What lines of business would be involved? What are the initiatives? What are the business benefits?)\u003C\/li\u003E\r\n\t\u003Cli\u003EActivity: Power of One and Gap Analyses \u0026ndash; what are cash flow benefits from:\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EImprove targeted operational KPIs by 1%\u003C\/li\u003E\r\n\t\t\u003Cli\u003EImprove performance to targeted performance\u003C\/li\u003E\r\n\t\t\u003Cli\u003ECost of delay in achieving improvement in performance\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EHow faster decision-making can help the company more quickly capture business and financial benefits.\u003C\/li\u003E\r\n\t\u003Cli\u003EKey take-aways and how participants will apply what they have learned\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003EWebinar 3 \u0026ndash; Building the Better Business Case\u003C\/h4\u003E\r\n\r\n\u003Ch5\u003EObjectives\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDevelop initiative that helps improve participant\u0026rsquo;s company financial performance\u003C\/li\u003E\r\n\t\u003Cli\u003EDevelop deeper understanding of building a business case\u003C\/li\u003E\r\n\t\u003Cli\u003EUsing the business case as project plan instead of check-the-box to get approval\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003EPre-work\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EReview \u003Cem\u003EBusiness Case Acumen\u003C\/em\u003E eLearning\u003C\/li\u003E\r\n\t\u003Cli\u003EBuild on initiative identified in Webinar 2\u003C\/li\u003E\r\n\t\u003Cli\u003EDevelop initial business case\u003C\/li\u003E\r\n\t\u003Cli\u003EConduct cash flow analysis using FinListics ClientIQ\u003C\/li\u003E\r\n\t\u003Cli\u003EPre-work submitted prior to webinar 3 for review by facilitator.\u0026nbsp;\u0026nbsp;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003ETopics\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EBusiness case overview\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EQualitative \u0026ndash; e.g., strategic fit, critical success factors, change management, intangible benefits etc.\u003C\/li\u003E\r\n\t\t\u003Cli\u003EQuantitative \u0026ndash; financial criteria e.g., cash flow, payback, NPV, etc. and breakeven analysis\u003C\/li\u003E\r\n\t\t\u003Cli\u003EMonitoring and managing success\u0026nbsp;\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EActivity: Present initial business case and receive feedback from peers and facilitator\u003C\/li\u003E\r\n\t\u003Cli\u003ESummary of webinar series\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EKey take-aways\u003C\/li\u003E\r\n\t\t\u003Cli\u003EHow participants will apply what they have learned\u003C\/li\u003E\r\n\t\t\u003Cli\u003EWhat \/ how will they share with others\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe course is designed to help\u0026nbsp;participants understand\u0026nbsp;how decisions impact\u0026nbsp;financial performance, identify\u0026nbsp;initiatives to improve company performance, and build better business cases with the overall goal of\u0026nbsp;improving financial acumen\u0026nbsp;and decision-making.\u0026nbsp;The course utilizes hands-on applications, group discussion, and exercises.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Improve your financial acumen\u00a0and decision-making to improve company performance"}],"uid":"27233","created_gmt":"2020-05-18 14:02:06","changed_gmt":"2020-06-18 13:14:42","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-09T14:30:00-04:00","event_time_end":"2020-09-09T16:00:00-04:00","event_time_end_last":"2020-09-09T16:00:00-04:00","gmt_time_start":"2020-09-09 18:30:00","gmt_time_end":"2020-09-09 20:00:00","gmt_time_end_last":"2020-09-09 20:00:00","rrule":"RRULE:FREQ=WEEKLY;INTERVAL=1;BYDAY=WE;UNTIL=20200924T035959Z;WKST=SU","timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/fdm","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"4175","name":"finance"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"625084":{"#nid":"625084","#data":{"type":"event","title":"Online Systems Operations and Strategic Interactions in Supply Chains Course","body":[{"value":"\u003Ch3\u003ENote: This course has been transitioned to an\u0026nbsp;\u003Cstrong\u003Eonline format for\u0026nbsp;\u003C\/strong\u003E2020.\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for 1-week Monday through Thursday from 9:30am to 1:00pm EDT each day.\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EOften the lack of cooperation and coordination between organizations or stakeholders lead to inefficiencies, despite having common goals. A systems view is needed to ensure appropriate use of scarce resources to meet the multiple, and often conflicting, short- and long-term goals from multiple constituents. This course will focus on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EWho Should Attend\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EHow You Will Benefit\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIdentify opportunities for coordination within organizations and collaboration across organizations for increased efficiency and improved outcomes.\u003C\/li\u003E\r\n\t\u003Cli\u003EDescribe the strategic behavior of decision-makers and the impact of the market (or contract) structure on the participant\u0026#39;s actions and the overall system dynamics.\u003C\/li\u003E\r\n\t\u003Cli\u003EDefine evaluation metrics in alignment with the system goals and structure system operations and incentives that address and evaluate these metrics.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003EWhat Is Covered\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EHow coordination and collaboration can improve supply chain efficiency and effectiveness\u003C\/li\u003E\r\n\t\u003Cli\u003EHow events, decisions and actions in one part of a system, such as a supply chain, impact other parts of the system\u003C\/li\u003E\r\n\t\u003Cli\u003ESystem-wide inventory variability and costs mitigation and reduction\u003C\/li\u003E\r\n\t\u003Cli\u003EEvaluation metrics\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003EPre-Course Activities (5 hrs) - Online via GTPE platform\u003Cbr \/\u003E\r\nIn Classroom Activities (2 days) - Georgia Tech Global Learning Center\u003C\/h5\u003E\r\n\r\n\u003Ch5\u003E**online class format (4 days) -\u0026nbsp;Online GTPE platform\u003C\/h5\u003E\r\n\r\n\u003Cp\u003ENOTE: Pre-course activities will be conducted online using the Canvas platform online learning management system. Access instructions will be provided to registrants when details become available.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPre-Course Activities - Conducted online via GTPE platform\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECoordination and Collaboration \u0026ndash; 2 hours\u003Cbr \/\u003E\r\nGame Theory\/Incentives \u0026ndash; 1 hour\u003Cbr \/\u003E\r\nSystem Dynamics - 2 hour\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse Materials\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EProvided\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EParticipants receive readings, case studies, spreadsheet files, and lecture slides, and will be given access to the pre-course web-based activities.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERecommended\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EStudents need a laptop with Microsoft Excel and the ability to connect to a high-speed internet connection (internet access is provided for onsite portions of course).\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003ECourse Prerequisite and Related Certificate Information\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EFor those interested in earning the Health and Humanitarian Supply Chain Management Certificate,\u0026nbsp;\u003Cstrong\u003Ethis course is the third and final\u0026nbsp;\u003C\/strong\u003Eof the three-course certificate program. To earn the certificate, participants must register and complete the following courses within three years:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/humpps\u0022\u003EResponsive Supply Chain Design and Operations\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/humtdm\u0022\u003EInventory Management and Resource Allocation in Supply Chains\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ESystems Operations and Strategic Interactions in Supply Chains\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/certificates\/supply-chain-logistics\/health-and-humanitarian-logistics-certificate\u0022 rel=\u0022 noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech Health and Humanitarian Logistics Professional Certificate Program\u003C\/a\u003E\u0026nbsp;is an executive education program designed for practitioners in non-governmental organizations (NGOs), government, industry, and the military who are active participants in health and humanitarian sectors. The courses are developed for practitioners seeking to build skills to improve decision making in preparedness, response operations planning, and system design. Courses include many interactive components, such as case studies and games, which help professionals in the humanitarian world to link the challenges and decision-making tradeoffs they face in practice with the systematic approaches, tools, and techniques presented.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse CEUs\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course provides for 1.40 continuing education units (CEUs).\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse Instructors\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/users\/julie-swann\u0022\u003EJulie Swann\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/users\/pinar-keskinocak\u0022\u003EPinar Keskinocak\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse Fees\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EStandard: $2,400.00, Alumni\/Org Discount: $2,160.00, Certificate: $1,992.00 (cost of each course when signing up for and paying for a multi-course certificate program).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst time attendees pay the listed course fee. If you are a returning student of the Supply Chain \u0026amp; Logistics Institute (SCL) courses, you will receive a 10% discount which you will enter at the \u0026quot;Check Out\u0026quot; page. Use Coupon Code\u0026nbsp;\u003Cem\u003ESCL-Alum\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are also discounts available for multiple-team member registrations, to those who prepay for all the courses in a specific certificate, to active\/retired military, or to members of certain organizations (\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/discounts\u0022\u003Eclick this link\u003C\/a\u003E\u0026nbsp;for a listing).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDiscounts cannot be combined or used for online formatted courses. To receive the coupon code for these discounts, call 404-385-8663 or\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/contact\/Professional_Education_Offerings\u0022\u003Esend us an email\u003C\/a\u003E\u0026nbsp;prior to registration\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe program fee for In Person courses (non-online) includes continental breakfasts, lunches, breaks, parking, internet access, and all classroom materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf CHHS must cancel a program, registrants will receive a full refund. Georgia Tech, however, cannot assume the responsibility for other costs incurred. Due to program enrollment limits, early registration is encouraged. Registrations will be acknowledged by a letter of confirmation from Professional Education.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E**\u003Cstrong\u003EThe 2020 Virtual Program,\u003C\/strong\u003E\u0026nbsp;will also be offered at a reduced cost of\u0026nbsp;$4,200 (originally $6,000). Courses taken individually (not the full\u0026nbsp; 3 course program) will be $1800 each rather than the original fee of $2400.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EIn Person Course Times\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EOn the first day, please check in at least 30 minutes before the class start time.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EMorning session (8:30am-12:30pm)\u003C\/li\u003E\r\n\t\u003Cli\u003ELunch (12:30am-1:30pm)\u003C\/li\u003E\r\n\t\u003Cli\u003EAfternoon session (1:30am-5:00pm)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003EOnline Course Times\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EEach course will run for 1 week Monday through Thursday from 9:30am to 1:00pm EDT each day.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course will focus on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore conceptual and modeling skills to understand and effectively manage humanitarian response from a systems perspective."}],"uid":"34586","created_gmt":"2019-08-23 17:50:11","changed_gmt":"2020-06-15 20:57:23","author":"jcooper90","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-07-27T10:30:00-04:00","event_time_end":"2020-07-30T14:00:00-04:00","event_time_end_last":"2020-07-30T14:00:00-04:00","gmt_time_start":"2020-07-27 14:30:00","gmt_time_end":"2020-07-30 18:00:00","gmt_time_end_last":"2020-07-30 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"635504":{"id":"635504","type":"image","title":"HHSCM Certificate Online Program 2020 Flyer","body":null,"created":"1589908739","gmt_created":"2020-05-19 17:18:59","changed":"1592921360","gmt_changed":"2020-06-23 14:09:20","alt":"","file":{"fid":"242157","name":"hhscm_courseflyer_2020.png","image_path":"\/sites\/default\/files\/images\/hhscm_courseflyer_2020.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hhscm_courseflyer_2020.png","mime":"image\/png","size":1808294,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hhscm_courseflyer_2020.png?itok=P6FayT9_"}}},"media_ids":["635504"],"related_links":[{"url":"https:\/\/pe.gatech.edu\/courses\/systems-operations-and-strategic-interactions-supply-chains","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/chhs.gatech.edu","title":"Center for Health and Humanitarian Systems website"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"625086":{"#nid":"625086","#data":{"type":"event","title":"Online Responsive Supply Chain Design and Operations Course","body":[{"value":"\u003Ch3\u003ENote: This course has been transitioned to an\u0026nbsp;\u003Cstrong\u003Eonline format for\u0026nbsp;\u003C\/strong\u003E2020.\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for 1-week Monday through Thursday from 9:30am to 1:00pm EDT each day.\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EMeeting demand in a timely and cost-effective manner is important both in public and private supply chains, and heavily depend on the design and operation of these supply chains. Demand is affected by ongoing factors such as local economy, infrastructure, and geographic location, as well as unexpected events such as natural or manmade disasters or other large-scale disruptions. Designing and operating responsive supply chains requires the consideration of uncertainty in timing, scope, scale, and understanding of various topics such as forecasting, distribution network design, and inventory management. This course will examine methods and models for making supply chain design and operational decisions and explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term strategy for meeting the need of customers and beneficiaries.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EWho Should Attend\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EHow You Will Benefit\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EProvide immediate impact to your organization through learnings gained from applied and real-world case studies.\u003C\/li\u003E\r\n\t\u003Cli\u003ELearn to bring NGOs, businesses, or government entities together to enhance collaboration, cooperation, and communication.\u003C\/li\u003E\r\n\t\u003Cli\u003EDiscover current trends and procedures to help organizations and team members get and stay ahead of the curve.\u003C\/li\u003E\r\n\t\u003Cli\u003EBuild a critical knowledge base to make tactical decisions around inventory, routing, and distribution.\u003C\/li\u003E\r\n\t\u003Cli\u003EDeliver best practices to measure and evaluate the efficiency, impact, and outcomes of focused initiatives or ongoing logistics and supply chain operations.\u003C\/li\u003E\r\n\t\u003Cli\u003ETransform the health and humanitarian sectors with increased capacity to participate in planning and strategic decision-making for effective supply-chain management.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003EWhat Is Covered\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ENetwork modeling approaches\u003C\/li\u003E\r\n\t\u003Cli\u003EForecasting techniques\u003C\/li\u003E\r\n\t\u003Cli\u003EStrategies for making decisions under uncertainty\u003C\/li\u003E\r\n\t\u003Cli\u003EOther data-driven analytical approaches\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003EPre-Course Activities (2.5 hrs) - Online via GTPE platform\u003Cbr \/\u003E\r\nClassroom Activities (2 days) - Georgia Tech Global Learning Center\u003C\/h5\u003E\r\n\r\n\u003Ch5\u003E**online class format (4 days) -\u0026nbsp;Online GTPE platform\u003C\/h5\u003E\r\n\r\n\u003Cp\u003ENOTE: Pre-course activities will conducted online using the CANVAS online learning management system. Access instructions will be provided to registrants when details become available.\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EPre-Course Activities - Conducted online via GTPE\u0026nbsp;online platform\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDistribution Network Design \u0026ndash; 2 hours\u003C\/li\u003E\r\n\t\u003Cli\u003EForecasting \u0026ndash; 1.5 hours\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch5\u003E\u0026nbsp;\u003C\/h5\u003E\r\n\r\n\u003Ch3\u003ECourse Materials\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EProvided\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EParticipants receive readings, case studies, spreadsheet files, and lecture slides, and will be given access to the pre-course web-based activities.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERecommended\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EStudents need a laptop with Microsoft Excel and the ability to connect to a high-speed internet connection (internet access is provided for onsite portions of course).\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003ECourse Prerequisite and Related Certificate Information\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EFor those interested in earning the Health and Humanitarian Supply Chain Management Certificate,\u0026nbsp;\u003Cstrong\u003Ethis course is the first\u003C\/strong\u003E\u0026nbsp;of the three-course certificate program. To earn the certificate, participants must register and complete the following courses within three years:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EResponsive Supply Chain Design and Operations\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/humtdm\u0022\u003EInventory Management and Resource Allocation in Supply Chains\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/humso\u0022\u003ESystems Operations and Strategic Interactions in Supply Chains\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/certificates\/supply-chain-logistics\/health-and-humanitarian-logistics-certificate\u0022 rel=\u0022 noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech Health and Humanitarian Logistics Professional Certificate Program\u003C\/a\u003E\u0026nbsp;is an executive education program designed for practitioners in non-governmental organizations (NGOs), government, industry, and the military who are active participants in health and humanitarian sectors. The courses are developed for practitioners seeking to build skills to improve decision making in preparedness, response operations planning, and system design. Courses include many interactive components, such as case studies and games, which help professionals in the humanitarian world to link the challenges and decision-making tradeoffs they face in practice with the systematic approaches, tools, and techniques presented.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse CEUs\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course provides for 1.40 continuing education units (CEUs).\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse Instructors\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/users\/julie-swann\u0022\u003EJulie Swann\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/users\/pinar-keskinocak\u0022\u003EPinar Keskinocak\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/users\/ozlem-ergun\u0022\u003EOzlem Ergun\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ECourse Fees\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EStandard: $2,400.00, Alumni\/Org Discount: $2,160.00, Certificate: $1,992.00 (cost of each course when signing up for and paying for a multi-course certificate program).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst time attendees pay the listed course fee. If you are a returning student of the Supply Chain \u0026amp; Logistics Institute (SCL) courses, you will receive a 10% discount which you will enter at the \u0026quot;Check Out\u0026quot; page. Use Coupon Code\u0026nbsp;\u003Cem\u003ESCL-Alum\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are also discounts available for multiple-team member registrations, to those who prepay for all the courses in a specific certificate, to active\/retired military, or to members of certain organizations (\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/education\/professional-education\/discounts\u0022\u003Eclick this link\u003C\/a\u003E\u0026nbsp;for a listing).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDiscounts cannot be combined or used for online formatted courses. To receive the coupon code for these discounts, call 404-385-8663 or\u0026nbsp;\u003Ca href=\u0022https:\/\/chhs.gatech.edu\/contact\/Professional_Education_Offerings\u0022\u003Esend us an email\u003C\/a\u003E\u0026nbsp;prior to registration\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe program fee for In Person courses (non-online) includes continental breakfasts, lunches, breaks, parking, internet access, and all classroom materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf CHHS must cancel a program, registrants will receive a full refund. Georgia Tech, however, cannot assume the responsibility for other costs incurred. Due to program enrollment limits, early registration is encouraged. Registrations will be acknowledged by a letter of confirmation from Professional Education.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E**\u003Cstrong\u003EThe 2020 Virtual Program,\u003C\/strong\u003E\u0026nbsp;will also be offered at a reduced cost of\u0026nbsp;$4,200 (originally $6,000). Courses taken individually (not the full\u0026nbsp;3 course program) will be $1800 each rather than the original fee of $2400.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EIn Person Course Times\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EOn the first day, please check in at least 30 minutes before the class start time.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EMorning session (8:30am-12:30pm)\u003C\/li\u003E\r\n\t\u003Cli\u003ELunch (12:30pm-1:30pm)\u003C\/li\u003E\r\n\t\u003Cli\u003EAfternoon session (1:30pm-5:00pm)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003EOnline Course Times\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EEach course will run for 1-week Monday through Thursday from 9:30am to 1:00pm EDT each day.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course will examine methods and models for making pre-planning decisions and explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term strategy for sustaining wellness.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term development"}],"uid":"34586","created_gmt":"2019-08-23 17:54:10","changed_gmt":"2020-06-15 20:57:06","author":"jcooper90","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-07-13T10:30:00-04:00","event_time_end":"2020-07-16T14:00:00-04:00","event_time_end_last":"2020-07-16T14:00:00-04:00","gmt_time_start":"2020-07-13 14:30:00","gmt_time_end":"2020-07-16 18:00:00","gmt_time_end_last":"2020-07-16 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"635504":{"id":"635504","type":"image","title":"HHSCM Certificate Online Program 2020 Flyer","body":null,"created":"1589908739","gmt_created":"2020-05-19 17:18:59","changed":"1592921360","gmt_changed":"2020-06-23 14:09:20","alt":"","file":{"fid":"242157","name":"hhscm_courseflyer_2020.png","image_path":"\/sites\/default\/files\/images\/hhscm_courseflyer_2020.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hhscm_courseflyer_2020.png","mime":"image\/png","size":1808294,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hhscm_courseflyer_2020.png?itok=P6FayT9_"}}},"media_ids":["635504"],"related_links":[{"url":"https:\/\/pe.gatech.edu\/courses\/responsive-supply-chain-design-and-operations","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/chhs.gatech.edu","title":"Center for Health and Humanitarian Systems website"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"8039","name":"Humanitarian"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Echhs@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634763":{"#nid":"634763","#data":{"type":"event","title":"Free Webinar: \u0022Enabling Together Smarter Pandemic Supply Chain Readiness and Response\u0022","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EOverview\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/www.isye.gatech.edu\/users\/benoit-montreuil\u0022\u003EDr. Benoit Montreuil\u003C\/a\u003E\u003C\/strong\u003E will emphasize the \u003Cstrong\u003Eimpactful interplay between supply chains and pandemics\u003C\/strong\u003E, across the world and in each locality. The impact of collectively improving \u003Cstrong\u003Epandemic supply chain readiness and response\u003C\/strong\u003E in each of the \u003Cstrong\u003Efive world states\u003C\/strong\u003E - \u003Cstrong\u003Ehealthy\u003C\/strong\u003E,\u003Cstrong\u003E outbreak\u003C\/strong\u003E,\u003Cstrong\u003E epidemics\u003C\/strong\u003E,\u003Cstrong\u003E pandemics\u003C\/strong\u003E, and\u003Cstrong\u003E recovery - will be highlighted\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe focus will be on \u003Cstrong\u003Ecritical and essential supply chains\u003C\/strong\u003E to demonstrate the capital importance of supply chains in fighting and surviving a pandemics, as revealed by the COVID-19 crisis.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ECritical supply chains support the fight against the pandemic disease\u003C\/strong\u003E by supporting the booming demand for testing kits, masks, respirators, etc., to hospitals and health centers.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EEssential supply chains\u003C\/strong\u003E provide the food, health products and goods necessary to \u003Cstrong\u003Eensure survival, quality of life and recovery capability of pandemic-affected populations\u003C\/strong\u003E \u003Cstrong\u003Eand economies\u003C\/strong\u003E, notably subject to distancing and containment measures.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EKey avenues for collectively and comprehensively \u003Cstrong\u003Eenabling effective and efficient pandemic supply chain readiness and response\u003C\/strong\u003E in each of the world states will be presented. These avenues combine \u003Cstrong\u003Ecommon-sense pragmatic practices\u003C\/strong\u003E to leading-edge concepts and technologies, notably based on \u003Cstrong\u003EArtificial Intelligence\u003C\/strong\u003E and the \u003Cstrong\u003EPhysical Internet\u003C\/strong\u003E. They notably enable:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ECritical and essential supply chain \u003Cstrong\u003Evisibility\u003C\/strong\u003E and \u003Cstrong\u003Epredictability\u003C\/strong\u003E;\u003C\/li\u003E\r\n\t\u003Cli\u003ESmart fair decisions relative to critical and essential product \u003Cstrong\u003Eallocation,\u003C\/strong\u003E \u003Cstrong\u003Edeployment, \u003C\/strong\u003Eand \u003Cstrong\u003Etransportation\u003C\/strong\u003E;\u003C\/li\u003E\r\n\t\u003Cli\u003EKeeping a \u003Cstrong\u003Ehealthy and efficient supply chain workforce\u003C\/strong\u003E;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ERepurposing\u003C\/strong\u003E supply chains and facilities to provide boost in critical and essential product availability;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EVector-free logistics eliminating disease propagation\u003C\/strong\u003E through goods and food production, packaging, distribution and delivery.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe presentation results from the interdisciplinary collaboration of 28 professors from Georgia Tech Supply Chain and\u0026nbsp;Logistics Institute.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EPlease \u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/smarter-together-webinar-series-tickets-102593243152\u0022\u003Eregister online via Eventbrite\u003C\/a\u003E if you plan to attend.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EAbout the\u0026nbsp;#SMARTer Together Webinar Series\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/smartcities.ipat.gatech.edu\/smarter-together\u0022\u003EThe webinar series\u003C\/a\u003E\u003C\/strong\u003E aims to challenge us beyond the immediate crisis and onto a newer state where we have another chance to build strong community-research partnerships for good. By focusing on complex, societal problems that communities all over GA and the rest of the world face, we aim to provide innovative research and create partnerships to empower all. We adhere to \u003Ca href=\u0022https:\/\/www.gatech.edu\/about\/strategic-plan\u0022\u003EGT\u0026rsquo;s Strategic Plan and Mission\u003C\/a\u003E on \u0026ldquo;developing leaders who advance technology and improve the human condition.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ELet\u0026#39;s all be #SMARTer Together.\u003C\/em\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us May 28th for a session featuring\u0026nbsp;Benoit Montreuil,\u0026nbsp;Coca-Cola Material Handling \u0026amp; Distribution Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech,\u0026nbsp;Director of the Physical Internet Center and Director of the Supply Chain and\u0026nbsp;Logistics Institute.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Session 4 in the #SMARTer Together Webinar Series"}],"uid":"27233","created_gmt":"2020-04-27 19:39:55","changed_gmt":"2020-04-29 14:16:17","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-05-28T13:00:00-04:00","event_time_end":"2020-05-28T14:00:00-04:00","event_time_end_last":"2020-05-28T14:00:00-04:00","gmt_time_start":"2020-05-28 17:00:00","gmt_time_end":"2020-05-28 18:00:00","gmt_time_end_last":"2020-05-28 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"634656":{"id":"634656","type":"image","title":"Dr. Benoit Montreuil","body":null,"created":"1587584034","gmt_created":"2020-04-22 19:33:54","changed":"1587584034","gmt_changed":"2020-04-22 19:33:54","alt":"","file":{"fid":"241516","name":"benoit-montreuil Photo.jpg","image_path":"\/sites\/default\/files\/images\/benoit-montreuil%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/benoit-montreuil%20Photo.jpg","mime":"image\/jpeg","size":75121,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/benoit-montreuil%20Photo.jpg?itok=l8ociq5z"}}},"media_ids":["634656"],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/smarter-together-webinar-series-tickets-102566039786","title":"Register Online via Eventbrite"},{"url":"https:\/\/b.gatech.edu\/3eZbwYk","title":"#SMARTer Together May Webinar Series"},{"url":"https:\/\/smartcities.gatech.edu\/","title":"Smart Cities and Inclusive Innovation (SCI2)"},{"url":"https:\/\/picenter.gatech.edu","title":"Physical Internet Center"},{"url":"https:\/\/www.scl.gatech.edu","title":"Supply Chain and Logistics Institute"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631895":{"#nid":"631895","#data":{"type":"event","title":"(CANCELLED) ISyE Department Seminar - R. Ravi","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ISyE Department Seminar - R. Ravi"}],"uid":"34868","created_gmt":"2020-01-30 17:19:01","changed_gmt":"2020-03-20 13:00:10","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-01T14:30:00-04:00","event_time_end":"2020-04-01T15:30:00-04:00","event_time_end_last":"2020-04-01T15:30:00-04:00","gmt_time_start":"2020-04-01 18:30:00","gmt_time_end":"2020-04-01 19:30:00","gmt_time_end_last":"2020-04-01 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631897":{"#nid":"631897","#data":{"type":"event","title":"(CANCELLED) ISyE Department Seminar - Jim Renegar","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ISyE Department Seminar - Jim Renegar"}],"uid":"34868","created_gmt":"2020-01-30 17:25:42","changed_gmt":"2020-03-20 12:56:41","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-22T14:30:00-04:00","event_time_end":"2020-04-22T15:30:00-04:00","event_time_end_last":"2020-04-22T15:30:00-04:00","gmt_time_start":"2020-04-22 18:30:00","gmt_time_end":"2020-04-22 19:30:00","gmt_time_end_last":"2020-04-22 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632194":{"#nid":"632194","#data":{"type":"event","title":"(CANCELLED) ISyE Seminar- Ashwin Pananjady ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Statistics meets computation: Exploring the interface between parametric and non-parametric modeling\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EModeling and tractable computation form two fundamental but competing pillars of data science; indeed, fitting good models to data is often computationally challenging in modern applications. Focusing on the canonical tasks of ranking and regression, I introduce problems where this tension is immediately apparent, and present methodological solutions that are both statistically sound and computationally tractable.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nI begin by describing a class of \u0026ldquo;permutation-based\u0026quot; models as a flexible alternative to parametric modeling in a host of inference problems including ranking from ordinal data. I introduce procedures that narrow a conjectured statistical-computational gap, demonstrating that carefully chosen non-parametric structure can significantly improve robustness to mis-specification while maintaining interpretability. Next, I address a complementary question in the context of convex regression, where I show that the curse of dimensionality inherent to non-parametric modeling can be mitigated via parametric approximation. Our provably optimal methodology demonstrates that it is often possible to enhance the interpretability of non-parametric models while maintaining important aspects of their flexibility.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/people.eecs.berkeley.edu\/~ashwinpm\/\u0022 target=\u0022_blank\u0022\u003EAshwin Pananjady\u003C\/a\u003E\u0026nbsp;is a PhD student in the Department of Electrical Engineering and Computer Sciences\u0026nbsp;at the University of California Berkeley, advised by Martin Wainwright and Thomas Courtade. His interests lie broadly in statistics, machine learning, information theory, and optimization, and include ranking and permutation estimation, high-dimensional and non-parametric statistics, high-dimensional probability, and reinforcement learning. He is a recipient of the inaugural Lawrence Brown PhD student award from the Institute of Mathematical Statistics, an Outstanding Graduate Student Instructor award from UC Berkeley, and the Governor\u0026#39;s Gold Medal from IIT Madras.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Statistics meets computation: Exploring the interface between parametric and non-parametric modeling\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EModeling and tractable computation form two fundamental but competing pillars of data science; indeed, fitting good models to data is often computationally challenging in modern applications. Focusing on the canonical tasks of ranking and regression, I introduce problems where this tension is immediately apparent, and present methodological solutions that are both statistically sound and computationally tractable.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nI begin by describing a class of \u0026ldquo;permutation-based\u0026quot; models as a flexible alternative to parametric modeling in a host of inference problems including ranking from ordinal data. I introduce procedures that narrow a conjectured statistical-computational gap, demonstrating that carefully chosen non-parametric structure can significantly improve robustness to mis-specification while maintaining interpretability. Next, I address a complementary question in the context of convex regression, where I show that the curse of dimensionality inherent to non-parametric modeling can be mitigated via parametric approximation. Our provably optimal methodology demonstrates that it is often possible to enhance the interpretability of non-parametric models while maintaining important aspects of their flexibility.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Statistics meets computation: Exploring the interface between parametric and non-parametric modeling"}],"uid":"34868","created_gmt":"2020-02-07 14:24:25","changed_gmt":"2020-03-20 12:55:48","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-02T11:00:00-05:00","event_time_end":"2020-03-02T12:00:00-05:00","event_time_end_last":"2020-03-02T12:00:00-05:00","gmt_time_start":"2020-03-02 16:00:00","gmt_time_end":"2020-03-02 17:00:00","gmt_time_end_last":"2020-03-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631887":{"#nid":"631887","#data":{"type":"event","title":"ISyE Department Seminar - Linwei Xin - CANCELLED","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EA 1.79-approximation algorithm for a continuous review lost-sales inventory model\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESingle-sourcing lost-sales inventory systems with lead times are notoriously difficult to optimize. Recent numerical experiments have suggested that a so-called capped base-stock policy demonstrates superior performance compared with existing heuristics. However, the superior performance lacks of a theoretical foundation (in the stochastic setting) and why such policies generally perform so well remains a major open question. In this paper, we provide a theoretical foundation for this phenomenon. In a continuous review lost-sales inventory model with lead times and Poisson demand, we prove that this policy has a worst-case performance guarantee of 1.79 by conducting an asymptotic analysis under large penalty cost and lead time following Reiman (2004). This result provides a deeper understanding of the superior numerical performance of capped base-stock policies, and presents a new approach to proving worst-case performance guarantees of simple policies in notoriously hard inventory problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELinwei Xin is an assistant professor of Operations Management at the University of Chicago Booth School of Business. He\u0026nbsp;graduated from ISyE in 2015,\u0026nbsp;advised by\u0026nbsp;David A. Goldberg and Alexander Shapiro.\u0026nbsp;His research interests include supply chain, inventory and revenue management, optimization under uncertainty, and data-driven decision-making. His work has been recognized with several INFORMS paper competition awards, including the 2019 Applied Probability Society Best Publication Award, First Place in the 2015 George E. Nicholson Student Paper Competition, Second Place in the 2015 Junior Faculty Interest Group Paper Competition, and a finalist in the 2014 Manufacturing and Service Operations Management Student Paper Competition. His research has been published in journals such as Operations Research and Management Science. He won a NSF grant as PI. He also has worked with companies\/organizations through research collaboration including Alibaba Group and Walmart Global eCommerce.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EA 1.79-approximation algorithm for a continuous review lost-sales inventory model\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESingle-sourcing lost-sales inventory systems with lead times are notoriously difficult to optimize. Recent numerical experiments have suggested that a so-called capped base-stock policy demonstrates superior performance compared with existing heuristics. However, the superior performance lacks of a theoretical foundation (in the stochastic setting) and why such policies generally perform so well remains a major open question. In this paper, we provide a theoretical foundation for this phenomenon. In a continuous review lost-sales inventory model with lead times and Poisson demand, we prove that this policy has a worst-case performance guarantee of 1.79 by conducting an asymptotic analysis under large penalty cost and lead time following Reiman (2004). This result provides a deeper understanding of the superior numerical performance of capped base-stock policies, and presents a new approach to proving worst-case performance guarantees of simple policies in notoriously hard inventory problems.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A 1.79-approximation algorithm for a continuous review lost-sales inventory model"}],"uid":"34868","created_gmt":"2020-01-30 15:57:40","changed_gmt":"2020-03-13 16:36:46","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-25T14:30:00-04:00","event_time_end":"2020-03-25T15:30:00-04:00","event_time_end_last":"2020-03-25T15:30:00-04:00","gmt_time_start":"2020-03-25 18:30:00","gmt_time_end":"2020-03-25 19:30:00","gmt_time_end_last":"2020-03-25 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"633271":{"#nid":"633271","#data":{"type":"event","title":"(POSTPONED) ISyE\/The Center for Machine Learning at Georgia Tech (ML@GT) seminar - Warren Powell ","body":[{"value":"\u003Cp\u003ESequential decisions are an almost universal problem class, spanning dynamic resource allocation problems, control problems, discrete graph problems, active learning problems, as well as two-agent games and multiagent problems.\u0026nbsp; Application settings span engineering, the sciences, transportation, health services, medical decision making, energy, e-commerce and finance.\u0026nbsp; A rich problem class involves systems that must actively learn about the environment, possibly via drones or robots.\u0026nbsp; In multi-agent systems, we may need to learn about the behavior of other agents.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese problems have been addressed in the academic literature using a variety of modeling and algorithmic frameworks, including dynamic programming, stochastic programming, stochastic control, simulation optimization, approximate dynamic programming\/reinforcement learning, and even multiarmed bandit problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will describe a universal modeling framework that can be used for \u003Cem\u003Eany\u003C\/em\u003E sequential decision problem in the presence of different sources of uncertainty.\u0026nbsp; The framework is centered on an optimization problem that optimizes over policies (rules for making decisions), where we show that there are two fundamental strategies for designing policies (policy search and policies based on lookahead approximations), each of which further divide into two classes, creating four (meta)classes of policies that are the foundation of \u003Cem\u003Eany\u003C\/em\u003E solution approach that has ever been proposed for a sequential problem.\u0026nbsp; I will demonstrate these policies in two broad contexts: pure learning problems (\u0026ldquo;bandit problems\u0026rdquo;) and dynamic resource allocation problems, where I will use a simple energy storage problem to show that each of the four classes (and a hybrid) can be made to work best.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESequential decisions are an almost universal problem class, spanning dynamic resource allocation problems, control problems, discrete graph problems, active learning problems, as well as two-agent games and multiagent problems.\u0026nbsp; Application settings span engineering, the sciences, transportation, health services, medical decision making, energy, e-commerce and finance.\u0026nbsp; A rich problem class involves systems that must actively learn about the environment, possibly via drones or robots.\u0026nbsp; In multi-agent systems, we may need to learn about the behavior of other agents.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese problems have been addressed in the academic literature using a variety of modeling and algorithmic frameworks, including dynamic programming, stochastic programming, stochastic control, simulation optimization, approximate dynamic programming\/reinforcement learning, and even multiarmed bandit problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will describe a universal modeling framework that can be used for \u003Cem\u003Eany\u003C\/em\u003E sequential decision problem in the presence of different sources of uncertainty.\u0026nbsp; The framework is centered on an optimization problem that optimizes over policies (rules for making decisions), where we show that there are two fundamental strategies for designing policies (policy search and policies based on lookahead approximations), each of which further divide into two classes, creating four (meta)classes of policies that are the foundation of \u003Cem\u003Eany\u003C\/em\u003E solution approach that has ever been proposed for a sequential problem.\u0026nbsp; I will demonstrate these policies in two broad contexts: pure learning problems (\u0026ldquo;bandit problems\u0026rdquo;) and dynamic resource allocation problems, where I will use a simple energy storage problem to show that each of the four classes (and a hybrid) can be made to work best.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022From Reinforcement Learning to Stochastic Optimization: A Universal Framework for Sequential Decision Analytics\u201d"}],"uid":"34868","created_gmt":"2020-03-04 14:48:09","changed_gmt":"2020-03-13 01:37:26","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-02T14:00:00-04:00","event_time_end":"2020-04-02T15:30:00-04:00","event_time_end_last":"2020-04-02T15:30:00-04:00","gmt_time_start":"2020-04-02 18:00:00","gmt_time_end":"2020-04-02 19:30:00","gmt_time_end_last":"2020-04-02 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"633197":{"#nid":"633197","#data":{"type":"event","title":"(POSTPONED) Warren Powell workshop on Stochastic Optimization and Machine Learning ","body":[{"value":"\u003Cp\u003EWorkshop:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA Unified Framework on Sequential Decisions under Uncertainty\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech, ISyE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWarren B Powell\u003Cbr \/\u003E\r\nPrinceton University\u003Cbr \/\u003E\r\nApril 3, 2020\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESequential decision problems arise in application areas that include engineering, the sciences, transportation, logistics, health services, medical decision making, energy, e-commerce and finance, along multiagent problems that arise with drones and robotics.\u0026nbsp; These problems have been addressed in the academic literature using a variety of modeling and algorithmic frameworks, including dynamic programming, stochastic programming, optimal control, simulation optimization, approximate dynamic programming\/reinforcement learning, and even multiarmed bandit problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn sharp contrast with the field of deterministic math programming which enjoys a canonical framework that is used around the world, sequential decision problems are described in the literature using at least eight fundamental modeling languages plus at least six more derivative dialects.\u0026nbsp; Further, application communities have developed a wide range of solution methods that reflect the characteristics of specific problem classes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this workshop, I will introduce a single, canonical modeling framework that covers every sequential decision problem.\u0026nbsp; The framework consists of five dimensions (drawing heavily on the approach used by stochastic control) that naturally represent real-world problems and map directly into software (and vice versa).\u0026nbsp; The framework clearly lays out the elements of any sequential decision problem that have to be modeled, which helps to clarify the understanding of complex systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecial attention will be given to the modeling of state variables, which are a surprising source of confusion in the research literature.\u0026nbsp; I will illustrate the different classes of state variables, including belief states, using a series of energy storage problems.\u0026nbsp; Through proper handling of state variables, I show how we can model pure learning problems, pure resource allocation problems, hybrid learning\/resource allocation problems, and contextual problems.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOur modeling strategy is centered on the challenge of optimizing over policies (functions for making decisions).\u0026nbsp; I will describe four (meta) classes of policies, that can be divided into two broad groups: the policy search class (finding the best function that works well over time), and lookahead policies that approximate the downstream impact of making a decision now.\u0026nbsp; I will claim that these four classes are universal: any method proposed in the literature (or used in practice) falls into one of these four classes, or a hybrid of two or more.\u0026nbsp; I will illustrate parametric cost function approximations that are widely used in practice, but almost completely ignored by the academic community.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will illustrate the four classes of policies in the context of pure learning problems, and the much richer class of state-dependent problems.\u0026nbsp; In the process, I will highlight the strengths of policies in the policy search class (simplicity, ability to incorporate structure) and the weaknesses (tunable parameters).\u0026nbsp; I will use an energy storage problem to show that we can make each of the four classes of policies (and possibly a hybrid) work best depending on the characteristics of the data.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESequential decision problems arise in application areas that include engineering, the sciences, transportation, logistics, health services, medical decision making, energy, e-commerce and finance, along multiagent problems that arise with drones and robotics.\u0026nbsp; These problems have been addressed in the academic literature using a variety of modeling and algorithmic frameworks, including dynamic programming, stochastic programming, optimal control, simulation optimization, approximate dynamic programming\/reinforcement learning, and even multiarmed bandit problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn sharp contrast with the field of deterministic math programming which enjoys a canonical framework that is used around the world, sequential decision problems are described in the literature using at least eight fundamental modeling languages plus at least six more derivative dialects.\u0026nbsp; Further, application communities have developed a wide range of solution methods that reflect the characteristics of specific problem classes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this workshop, I will introduce a single, canonical modeling framework that covers every sequential decision problem.\u0026nbsp; The framework consists of five dimensions (drawing heavily on the approach used by stochastic control) that naturally represent real-world problems and map directly into software (and vice versa).\u0026nbsp; The framework clearly lays out the elements of any sequential decision problem that have to be modeled, which helps to clarify the understanding of complex systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecial attention will be given to the modeling of state variables, which are a surprising source of confusion in the research literature.\u0026nbsp; I will illustrate the different classes of state variables, including belief states, using a series of energy storage problems.\u0026nbsp; Through proper handling of state variables, I show how we can model pure learning problems, pure resource allocation problems, hybrid learning\/resource allocation problems, and contextual problems.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOur modeling strategy is centered on the challenge of optimizing over policies (functions for making decisions).\u0026nbsp; I will describe four (meta) classes of policies, that can be divided into two broad groups: the policy search class (finding the best function that works well over time), and lookahead policies that approximate the downstream impact of making a decision now.\u0026nbsp; I will claim that these four classes are universal: any method proposed in the literature (or used in practice) falls into one of these four classes, or a hybrid of two or more.\u0026nbsp; I will illustrate parametric cost function approximations that are widely used in practice, but almost completely ignored by the academic community.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will illustrate the four classes of policies in the context of pure learning problems, and the much richer class of state-dependent problems.\u0026nbsp; In the process, I will highlight the strengths of policies in the policy search class (simplicity, ability to incorporate structure) and the weaknesses (tunable parameters).\u0026nbsp; I will use an energy storage problem to show that we can make each of the four classes of policies (and possibly a hybrid) work best depending on the characteristics of the data.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A Unified Framework on Sequential Decisions under Uncertainty"}],"uid":"34868","created_gmt":"2020-03-02 18:10:38","changed_gmt":"2020-03-13 01:36:04","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-03T10:00:00-04:00","event_time_end":"2020-04-03T18:00:00-04:00","event_time_end_last":"2020-04-03T18:00:00-04:00","gmt_time_start":"2020-04-03 14:00:00","gmt_time_end":"2020-04-03 22:00:00","gmt_time_end_last":"2020-04-03 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631880":{"#nid":"631880","#data":{"type":"event","title":"ISyE Department Seminar - Richard Tapia","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe finite dimensional McCormick second-order sufficiency theory for non-linear programming problems with a finite number of constraints is now a classical part of the optimization literature. It was introduced by McCormick in 1967 and an improved version was given by Fiacco and McCormick in their 1968 award winning book. Later it was learned that Pennisi in 1953 had presented exactly the same theory. Many authors, most notably Maurer and Zowe in a highly visible paper in 1978 argue that the Pennisi- McCormick theory cannot be extended to infinite dimensions without adding further assumptions, by producing a counter example. They then extend the theory to infinite dimensions, allowing for an infinite number of constraints, by adding additional assumptions.\u0026nbsp; In the current work we use a fundamental principle for second-order sufficiency to extend, the Pennisi-McCormick second-order theory as stated in Rn to infinite dimensional normed vector spaces, without adding additional assumptions. The Maurer and Zowe infinite dimensional counter example carried an infinite number of constraints. Hence they seemed to be unaware that the extension of the Pennisi-McCormick theory to infinite dimensions was possible provided the original feature of a finite number of constraints was maintained.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERichard A. Tapia, University Professor and Maxfield-Oshman Professor of Engineering, Rice University was born in Los Angeles to parents who emigrated from Mexico when they were children, seeking educational opportunities. He was the first in his family to attend college, earning his B.A., M.A., and Ph.D. degrees in mathematics from the University of California, Los Angeles. Due to his efforts, Rice University has received national recognition for its educational outreach programs, and the Rice Computational and Applied Mathematics Department has become a national leader in producing women and underrepresented minority Ph.D.s in the mathematical sciences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tapia\u0026rsquo;s major research contributions have been in the area of computational optimization, both linear and nonlinear programming, where he pioneered the exploration and settlement of the important computational methods in numerical optimization known as primal-dual interior point methods. Tapia has authored or co-authored two books and more than 100 mathematical research papers, and is currently authoring a graduate level textbook on the foundations of optimization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tapia\u0026rsquo;s honors include: election to the National Academy of Engineering (1992) for his seminal work in interior point methods; being the first recipient of the A. Nico Habermann Award from the Computing Research Association (1994) for outstanding contributions in aiding members of underrepresented groups within the computing community; the Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring from President Bill Clinton (1996); appointment by President Clinton to the National Science Board, the governing body of the National Science Foundation (1996); the Lifetime Mentor Award from the American Association for the Advancement of Science (1997); and the establishment of a lecture series to honor Dr. Tapia and African American mathematician David Blackwell at Cornell University (2000). The Richard Tapia Celebration of Diversity in Computing honors his many contributions to diversity (2001). He received the Hispanic Engineer of the Year Award from Hispanic Engineer Magazine in 1996, and was inducted into the Hispanic Engineer National Achievement Awards Conference Hall of Fame in 1997. Hispanic Engineer \u0026amp; Informational Technology Magazine also selected him as one of the 50 Most Important Hispanics in Technology and Business for 2004. That same year Dr. Tapia was inducted into the Texas Science Hall of Fame.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tapia has been named one of 20 most influential leaders in minority math education by the National Research Council; listed as one of the 100 most influential Hispanics in the U.S. by Hispanic Business magazine (2008); and given the \u0026ldquo;Professor of the Year\u0026rdquo; award by the Association of Hispanic School Administrators, Houston Independent School District, Houston, Texas. In 2005, Tapia was elected to the Board of Directors for TAMEST, comprising the Texas members of the National Academy of Engineering, National Academy of Sciences and the Institute of Medicine. In 2009, Tapia received the Hispanic Heritage Award for Math and Science. In 2011, President Obama named Dr. Tapia one of the recipients of the National Medal of Science, the highest honor bestowed by the United States government on scientists and engineers.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe finite dimensional McCormick second-order sufficiency theory for non-linear programming problems with a finite number of constraints is now a classical part of the optimization literature. It was introduced by McCormick in 1967 and an improved version was given by Fiacco and McCormick in their 1968 award winning book. Later it was learned that Pennisi in 1953 had presented exactly the same theory. Many authors, most notably Maurer and Zowe in a highly visible paper in 1978 argue that the Pennisi- McCormick theory cannot be extended to infinite dimensions without adding further assumptions, by producing a counter example. They then extend the theory to infinite dimensions, allowing for an infinite number of constraints, by adding additional assumptions.\u0026nbsp; In the current work we use a fundamental principle for second-order sufficiency to extend, the Pennisi-McCormick second-order theory as stated in Rn to infinite dimensional normed vector spaces, without adding additional assumptions. The Maurer and Zowe infinite dimensional counter example carried an infinite number of constraints. Hence they seemed to be unaware that the extension of the Pennisi-McCormick theory to infinite dimensions was possible provided the original feature of a finite number of constraints was maintained.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"DOES THE PENNISI-MCCORMICK SECOND-ORDER SUFFICIENCY THEOREM FOR NONLINEAR PROGRAMMING HOLD IN INFINITE DIMENSIONS:  A 50 YEAR OLD QUESTION?"}],"uid":"34868","created_gmt":"2020-01-30 15:33:37","changed_gmt":"2020-03-04 13:13:52","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-04T13:30:00-05:00","event_time_end":"2020-03-04T14:30:00-05:00","event_time_end_last":"2020-03-04T14:30:00-05:00","gmt_time_start":"2020-03-04 18:30:00","gmt_time_end":"2020-03-04 19:30:00","gmt_time_end_last":"2020-03-04 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"633167":{"#nid":"633167","#data":{"type":"event","title":"ISyE Statistic Seminar - David Dunson","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ELearning \u0026amp; Exploiting Low-Dimensional Structure in High-Dimentional Data\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis talk will focus on the problem of learning low-dimensional geometric structure in high-dimensional data. We allow the lower-dimensional subspace to be non-linear. There are a variety of algorithms available for \u0026ldquo;manifold learning\u0026rdquo; and non-linear dimensionality reduction, mostly relying on locally linear approximations and not providing a likelihood-based approach for inferences. We propose a new class of simple geometric dictionaries for characterizing the subspace, along with a simple optimization algorithm and a model-based approach to inference. We provide strong theory support, in terms of tight bounds on covering numbers, showing advantages of our approach relative to local linear dictionaries. These advantages are shown to carry over to practical performance in a variety of settings including manifold learning, manifold de-noising, data visualization, classification (providing a competitor to deep neural networks that requires fewer training examples), and geodesic distance estimation. We additionally provide a Bayesian nonparametric methodology for inference, using a new class of kernels, which is shown to outperform current methods, such as mixtures of multivariate Gaussians.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EShort Bio:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EDavid Dunson is Arts \u0026amp; Sciences Distinguished Professor of Statistical Science and Mathematics at Duke University. \u0026nbsp;His research focuses on developing methodology for analysis and interpretation of complex and high-dimensional data, with a particular emphasis on Bayesian and probability modeling approaches. \u0026nbsp;He is particularly interested in work at the intersection of statistics, differential geometry, and computer science. \u0026nbsp;Methods development and theory are directly motivated by applications in neuroscience, genomics, environmental health, and ecology among others. \u0026nbsp;In these settings, it is common for data to have a structured form, consisting of replicated networks\/graphs, trees, functions, tensors, etc. \u0026nbsp;A focus is on developing fundamentally new frameworks for statistical inferences in challenging settings, including improving robustness to modeling assumptions and scalability to large datasets. \u0026nbsp;He has won numerous awards, including the 2010 COPSS Presidents\u0026rsquo; Award, which is widely viewed as the most prestigious award in statistics and represents statistics version of the Field\u0026rsquo;s Medal, being given to one outstanding researcher under the age of 41 per year internationally. \u0026nbsp;His work has had substantial impact, with ~48,000 citations on google scholar and an H-index of 75.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis talk will focus on the problem of learning low-dimensional geometric structure in high-dimensional data. We allow the lower-dimensional subspace to be non-linear. There are a variety of algorithms available for \u0026ldquo;manifold learning\u0026rdquo; and non-linear dimensionality reduction, mostly relying on locally linear approximations and not providing a likelihood-based approach for inferences. We propose a new class of simple geometric dictionaries for characterizing the subspace, along with a simple optimization algorithm and a model-based approach to inference. We provide strong theory support, in terms of tight bounds on covering numbers, showing advantages of our approach relative to local linear dictionaries. These advantages are shown to carry over to practical performance in a variety of settings including manifold learning, manifold de-noising, data visualization, classification (providing a competitor to deep neural networks that requires fewer training examples), and geodesic distance estimation. We additionally provide a Bayesian nonparametric methodology for inference, using a new class of kernels, which is shown to outperform current methods, such as mixtures of multivariate Gaussians.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learning \u0026 Exploiting Low-Dimensional Structure in High-Dimentional Data"}],"uid":"34977","created_gmt":"2020-03-02 15:33:02","changed_gmt":"2020-03-02 15:33:02","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-06T12:00:00-05:00","event_time_end":"2020-03-06T13:00:00-05:00","event_time_end_last":"2020-03-06T13:00:00-05:00","gmt_time_start":"2020-03-06 17:00:00","gmt_time_end":"2020-03-06 18:00:00","gmt_time_end_last":"2020-03-06 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631883":{"#nid":"631883","#data":{"type":"event","title":"ISyE Department Seminar - Aleksandr (Sasha) Stolyar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Discrete-time TASEP with holdback\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe study a discrete-time interacting particle system, which can be called a totally asymmetric simple exclusion process with holdback (TASEP-H). There are rho*n particles, rho \u0026lt; 1, moving clockwise, in discrete time, on n sites arranged in a circle. The \u0026ldquo;holdback\u0026quot; refers to the property that the probability of a particle moving forward to a vacant site depends on the presence of a particle immediately \u0026ldquo;behind\u0026rdquo; it. The model is motivated by a communication network with packets moving along a sequence of nodes under a \u0026ldquo;standard\u0026rdquo; random access algorithm. Another motivation is a slow-to-start model of car traffic. We focus on the dependence of the steady-state flux (throughput) on the density rho, when n is large. We show that when rho exceeds a certain threshold, a phase transition occurs in that large particle clusters are formed and persist, making the \u0026quot;typical\u0026quot; flux different from the formal one. (Joint work with Seva Shneer, Heriot-Watt Univ.)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince 2017 Aleksandr Stolyar is a Founder Professor in the ISE Department and Coordinated Science Lab at UIUC. His research interests are in stochastic processes, queueing theory, and stochastic modeling of information, communication and service systems. He received Ph.D. in Mathematics from the Institute of Control Science, Moscow, in 1989, and was a research scientist at the Institute of Control Science in 1989-1991. In 1992-1998 he was working on stochastic models in telecommunications at Motorola and AT\u0026amp;T Research. From 1998 to 2014 he was with the Bell Labs Mathematical Sciences Research, Murray Hill, New Jersey, working on stochastic networks and resource allocation problems in a variety of applications, including wireless and wireline communications, service systems, network clouds. In 2014-2016 he was a Timothy J. Wilmott Endowed Chair Professor in the ISE Department at Lehigh University. He received INFORMS Applied Probability Society 2004 Best Publication award, SIGMETRICS\u0026#39;96 Best Paper award.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Discrete-time TASEP with holdback\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe study a discrete-time interacting particle system, which can be called a totally asymmetric simple exclusion process with holdback (TASEP-H). There are rho*n particles, rho \u0026lt; 1, moving clockwise, in discrete time, on n sites arranged in a circle. The \u0026ldquo;holdback\u0026quot; refers to the property that the probability of a particle moving forward to a vacant site depends on the presence of a particle immediately \u0026ldquo;behind\u0026rdquo; it. The model is motivated by a communication network with packets moving along a sequence of nodes under a \u0026ldquo;standard\u0026rdquo; random access algorithm. Another motivation is a slow-to-start model of car traffic. We focus on the dependence of the steady-state flux (throughput) on the density rho, when n is large. We show that when rho exceeds a certain threshold, a phase transition occurs in that large particle clusters are formed and persist, making the \u0026quot;typical\u0026quot; flux different from the formal one. (Joint work with Seva Shneer, Heriot-Watt Univ.)\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Discrete-time TASEP with holdback"}],"uid":"34868","created_gmt":"2020-01-30 15:41:53","changed_gmt":"2020-02-25 19:57:25","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-11T14:30:00-04:00","event_time_end":"2020-03-11T15:30:00-04:00","event_time_end_last":"2020-03-11T15:30:00-04:00","gmt_time_start":"2020-03-11 18:30:00","gmt_time_end":"2020-03-11 19:30:00","gmt_time_end_last":"2020-03-11 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632260":{"#nid":"632260","#data":{"type":"event","title":"ISyE Statistic Seminar - Hongyuan Cao - CANCELED ","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ETesting and estimation for clustered signals\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EWe propose a change-point detection method for large scale multiple testing problems with data having clustered signals. Unlike the classic change-point setup, the signals can vary in size within a cluster. The clustering structure on the signals enables us to effectively delineate the boundaries between signal and non-signal segments. New test statistics are proposed for observations from one and\/or multiple realizations. Their asymptotic distributions are derived. We also study the associated variance estimation problem. We allow the variances to be heteroscedastic in the multiple realization case, which substantially expands the applicability of the proposed method. Simulation studies demonstrate that the proposed approach has a favorable performance. Our procedure is applied to an array CGH dataset.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EShort bio:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EHongyuan Cao is currently an associate professor of statistics at Florida State University. She got her Ph.D in statistics from UNC-Chapel Hill. Her research interests include high dimensional data, machine learning, longitudinal data analysis, survival analysis and causal inference. She currently serves as associate editor of Biometrics.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EWe propose a change-point detection method for large scale multiple testing problems with data having clustered signals. Unlike the classic change-point setup, the signals can vary in size within a cluster. The clustering structure on the signals enables us to effectively delineate the boundaries between signal and non-signal segments. New test statistics are proposed for observations from one and\/or multiple realizations. Their asymptotic distributions are derived. We also study the associated variance estimation problem. We allow the variances to be heteroscedastic in the multiple realization case, which substantially expands the applicability of the proposed method. Simulation studies demonstrate that the proposed approach has a favorable performance. Our procedure is applied to an array CGH dataset.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Testing and estimation for clustered signals"}],"uid":"34977","created_gmt":"2020-02-10 18:59:58","changed_gmt":"2020-02-25 13:22:20","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-02T12:00:00-05:00","event_time_end":"2020-03-02T13:00:00-05:00","event_time_end_last":"2020-03-02T13:00:00-05:00","gmt_time_start":"2020-03-02 17:00:00","gmt_time_end":"2020-03-02 18:00:00","gmt_time_end_last":"2020-03-02 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631881":{"#nid":"631881","#data":{"type":"event","title":"ISyE Department Seminar - Weihong (Grace) Guo","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EToward the Digital Thread of Metal Additive Manufacturing for Functional Components: Melt Pool Modeling and Porosity Prediction\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMetal Additive Manufacturing (AM) offers tremendous freedom to create complex parts without the design constraints of traditional manufacturing routes. Despite its promise and potential, however, AM is still largely a solution that is used for rapid prototyping and small-batch production. While the process-structure-property-performance relationship is largely unknown for AM, it is further masked by the information-disconnected AM process chain. The silos of information hamper data exchange among the different steps in the AM process chain, causing manufacturing to be less efficient, prone to error, and lacking traceability. Therefore, how to harness the data from every step of the AM process chain, powered with data science, is urgent but promising to make AM transparent and optimized, and to produce quality parts. Digital thread is the seamless flow of data throughout the product development chain, including design concept, modeling, build plan, monitoring, quality assurance, the build process itself, and post-processing and inspection. The ability to dissect, understand, and apply the potentially massive amounts of data and intense computing demands within the digital thread allows users to enhance and scale their AM capabilities and manage the complexities of AM production. By collecting and analyzing detailed logs of real-time data from process monitoring, it is possible to recognize patterns which reveal where potential defects might occur and where process adjustments may be beneficial.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will highlight our recent work toward the digital thread of AM by focusing on melt pool modeling and porosity prediction in laser metal deposition (LMD). Porosity produced in LMD hampers its application due to the absence of an effective prediction method. Measured thermal images of the melt pool provide a unique opportunity for porosity analytics. The first part of this talk will present a hierarchical spatial-temporal model for melt pool thermal images, which enables melt pool modeling and monitoring. On the other hand, a physical model may provide complementary rich data that cannot be measured otherwise. How to leverage both types of data to predict porosity is very challenging. The second part of the talk will present a physics-driven deep learning model predict porosity by integrating both measured and predicted data of the melt pool.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWeihong \u0026ldquo;Grace\u0026rdquo; Guo is an Assistant Professor in the Department of Industrial and Systems Engineering. She earned her B.S. degree in Industrial Engineering from Tsinghua University, China, in 2010 and her Ph.D. in Industrial \u0026amp; Operations Engineering from the University of Michigan, Ann Arbor, in 2015. Her research focuses on developing novel methodologies for extracting and analyzing massive and complex data to facilitate effective monitoring of operational quality, early detection of system anomalies, quick diagnosis of fault root causes, and intelligent system design and control. She has collaborated with a domestic logistics\/supply chain company, a university-affiliated health system and worldwide manufacturers of automobiles and personal care products. Her research has been funded by NSF, DOT, and Ford Motor Company. She received the Barbara M. Fossum Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers in 2019. She also received several best paper awards from ASME. She is a member of INFORMS, IISE, ASME, SME, and Tau Beta Pi.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EToward the Digital Thread of Metal Additive Manufacturing for Functional Components: Melt Pool Modeling and Porosity Prediction\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMetal Additive Manufacturing (AM) offers tremendous freedom to create complex parts without the design constraints of traditional manufacturing routes. Despite its promise and potential, however, AM is still largely a solution that is used for rapid prototyping and small-batch production. While the process-structure-property-performance relationship is largely unknown for AM, it is further masked by the information-disconnected AM process chain. The silos of information hamper data exchange among the different steps in the AM process chain, causing manufacturing to be less efficient, prone to error, and lacking traceability. Therefore, how to harness the data from every step of the AM process chain, powered with data science, is urgent but promising to make AM transparent and optimized, and to produce quality parts. Digital thread is the seamless flow of data throughout the product development chain, including design concept, modeling, build plan, monitoring, quality assurance, the build process itself, and post-processing and inspection. The ability to dissect, understand, and apply the potentially massive amounts of data and intense computing demands within the digital thread allows users to enhance and scale their AM capabilities and manage the complexities of AM production. By collecting and analyzing detailed logs of real-time data from process monitoring, it is possible to recognize patterns which reveal where potential defects might occur and where process adjustments may be beneficial.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will highlight our recent work toward the digital thread of AM by focusing on melt pool modeling and porosity prediction in laser metal deposition (LMD). Porosity produced in LMD hampers its application due to the absence of an effective prediction method. Measured thermal images of the melt pool provide a unique opportunity for porosity analytics. The first part of this talk will present a hierarchical spatial-temporal model for melt pool thermal images, which enables melt pool modeling and monitoring. On the other hand, a physical model may provide complementary rich data that cannot be measured otherwise. How to leverage both types of data to predict porosity is very challenging. The second part of the talk will present a physics-driven deep learning model predict porosity by integrating both measured and predicted data of the melt pool.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Toward the Digital Thread of Metal Additive Manufacturing for Functional Components: Melt Pool Modeling and Porosity Prediction"}],"uid":"34868","created_gmt":"2020-01-30 15:35:00","changed_gmt":"2020-02-20 18:30:25","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-26T13:30:00-05:00","event_time_end":"2020-02-26T14:30:00-05:00","event_time_end_last":"2020-02-26T14:30:00-05:00","gmt_time_start":"2020-02-26 18:30:00","gmt_time_end":"2020-02-26 19:30:00","gmt_time_end_last":"2020-02-26 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632193":{"#nid":"632193","#data":{"type":"event","title":"ISyE Seminar- Cong Ma ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Nonconvex Optimization Meets Statistics: Towards Rigorous Computational and Inferential Guarantees\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract\u003C\/strong\u003E: In recent years, there has been an explosion of interest in designing fast nonconvex optimization algorithms to solve statistical estimation and learning problems. However, in contrast to convex optimization that has become a real pillar of modern engineering, the theoretical foundations of nonconvex optimization are far from satisfactory, especially in terms of its computational and inferential properties. This talk will present two recent stories that advance our understanding of nonconvex statistical estimation. The first story focuses on computational efficiency in solving random quadratic systems of equations. Despite the nonconvexity of the natural least-squares formulation, gradient descent with random initialization finds its global solution within a logarithmic number of iterations. The second story is concerned with uncertainty quantification for nonconvex low-rank matrix completion. We develop a de-biased estimator \u0026mdash; on the basis of a nonconvex estimator \u0026mdash; that enables optimal construction of confidence intervals for the missing entries of the unknown matrix. All of this is achieved via an integrated view of statistics and optimization.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio\u003C\/strong\u003E: Cong Ma is currently a Ph.D. student in the Department of Operations Research and Financial Engineering at Princeton University, advised by Yuxin Chen and Jianqing Fan. His research interests include nonconvex optimization, high-dimensional statistics, machine learning as well as their applications to computational neuroscience.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Nonconvex Optimization Meets Statistics: Towards Rigorous Computational and Inferential Guarantees\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract\u003C\/strong\u003E: In recent years, there has been an explosion of interest in designing fast nonconvex optimization algorithms to solve statistical estimation and learning problems. However, in contrast to convex optimization that has become a real pillar of modern engineering, the theoretical foundations of nonconvex optimization are far from satisfactory, especially in terms of its computational and inferential properties. This talk will present two recent stories that advance our understanding of nonconvex statistical estimation. The first story focuses on computational efficiency in solving random quadratic systems of equations. Despite the nonconvexity of the natural least-squares formulation, gradient descent with random initialization finds its global solution within a logarithmic number of iterations. The second story is concerned with uncertainty quantification for nonconvex low-rank matrix completion. We develop a de-biased estimator \u0026mdash; on the basis of a nonconvex estimator \u0026mdash; that enables optimal construction of confidence intervals for the missing entries of the unknown matrix. All of this is achieved via an integrated view of statistics and optimization.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Nonconvex Optimization Meets Statistics: Towards Rigorous Computational and Inferential Guarantees"}],"uid":"34868","created_gmt":"2020-02-07 14:22:27","changed_gmt":"2020-02-11 17:20:53","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-18T11:00:00-05:00","event_time_end":"2020-02-18T12:00:00-05:00","event_time_end_last":"2020-02-18T12:00:00-05:00","gmt_time_start":"2020-02-18 16:00:00","gmt_time_end":"2020-02-18 17:00:00","gmt_time_end_last":"2020-02-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"630338":{"#nid":"630338","#data":{"type":"event","title":"SCL February 2020 Supply Chain Day","body":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain\u0026nbsp;students, please join us for our spring Supply Chain Day! The 3-hour session will host supply chain representatives from \u003Cstrong\u003E\u200b\u200b4flow, Armada, Chainalytics, Ebco, Forward Air, HD Supply, Kimberly-Clark, Kinaxis, LLamasoft, Maxim Integrated, Norfolk Southern, o9 Solutions, OMP, Peeples Industries, Reece (formerly MORSCO), Tosca, Viasat, Walmart, and WestRock\u003C\/strong\u003E who will be on campus to educate supply chain students about their organizations and available employment and networking opportunities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage students to act now to seek full-time employment\u003C\/strong\u003E, \u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E (rather than waiting until the end of the semester). Plus, enjoy a free pizza lunch!\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EEVENT DETAILS\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhere\u003C\/strong\u003E: \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/about\/maps-directions\/isye-building-complex\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003EISyE Main Bldg\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhen\u003C\/strong\u003E: Tuesday, February 4, 2020 |\u0026nbsp;11am - 2pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat\u003C\/strong\u003E: The session will include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ENetworking opportunities in the ISyE atrium\u003C\/li\u003E\r\n\t\u003Cli\u003EFood and refreshments\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPlease plan on staying for the duration of the event and bring copies of your resume and business cards\u003C\/strong\u003E. Dress is business casual.\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/supplychainday\/students\u0022\u003EREGISTER ONLINE\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eby\u0026nbsp;January 27th\u0026nbsp;to\u0026nbsp;upload your resume and have it\u0026nbsp;forwarded to the organization representatives!\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EEVENT SPONSOR\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event is sponsored through the generosity and support of \u003Ca href=\u0022https:\/\/www.jpmorganchase.com\/\u0022 target=\u0022_blank\u0022\u003EJP Morgan Chase \u0026amp; Co.\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022http:\/\/www.apicsatlanta.org\/\u0022\u003EAPICS - Atlanta Chapter\u003C\/a\u003E. APICS is a non-profit educational organization addressing operations management and supply chain management issues, and providing professional development opportunities to its members.\u0026nbsp;\u003Cstrong\u003EAPICS Membership is free for full time students\u003C\/strong\u003E. Join today at \u003Ca href=\u0022http:\/\/www.apics.org\/join\u0022\u003E\u003Cstrong\u003Ewww.apics.org\/join\u003C\/strong\u003E\u003C\/a\u003E and start networking at local APIC Atlanta events. Also\u0026nbsp;make sure to stop by the APICS table at the event.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain\u0026nbsp;students, please join us for second Supply Chain Day of the fall semester! The 3-hour session will host supply chain representatives from \u003Cstrong\u003E4flow, Armada, Chainalytics, Ebco, Forward Air, HD Supply, Kimberly-Clark, Kinaxis, LLamasoft, Maxim Integrated, Norfolk Southern, o9 Solutions, OMP, Peeples Industries, Reece (formerly MORSCO), Tosca, Viasat, Walmart, and WestRock\u0026nbsp;\u003C\/strong\u003Ewho will be on campus to educate supply chain students about their organizations and available employment and networking opportunities.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"An event where industry supply chain representatives meet with supply chain students"}],"uid":"27233","created_gmt":"2019-12-30 16:16:29","changed_gmt":"2020-01-29 20:46:00","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-04T11:00:00-05:00","event_time_end":"2020-02-04T14:00:00-05:00","event_time_end_last":"2020-02-04T14:00:00-05:00","gmt_time_start":"2020-02-04 16:00:00","gmt_time_end":"2020-02-04 19:00:00","gmt_time_end_last":"2020-02-04 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"630337":{"id":"630337","type":"image","title":"SCL February 2020 Supply Chain Day","body":null,"created":"1577722459","gmt_created":"2019-12-30 16:14:19","changed":"1577722525","gmt_changed":"2019-12-30 16:15:25","alt":"SCL February 2020 Supply Chain Day","file":{"fid":"240012","name":"homepage-scday_20200204.jpg","image_path":"\/sites\/default\/files\/images\/homepage-scday_20200204.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/homepage-scday_20200204.jpg","mime":"image\/jpeg","size":85661,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/homepage-scday_20200204.jpg?itok=TquPHSIX"}}},"media_ids":["630337"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/supplychainday\/students","title":"Register online to attend (for supply chain students)"},{"url":"https:\/\/www.scl.gatech.edu\/supplychainday","title":"About Supply Chain Day"},{"url":"https:\/\/www.scl.gatech.edu","title":"Supply Chain \u0026 Logistics Institute website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"780","name":"employment"},{"id":"9845","name":"GTSCL"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"},{"id":"1996","name":"Recruiting"},{"id":"5172","name":"career day"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Eevent@scl.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631669":{"#nid":"631669","#data":{"type":"event","title":"LLamasoft Information Session","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ELLamasoft will hold an information session in addition to their Georgia Tech Supply Chain Day recruiting efforts.\u003C\/strong\u003E During the session, Neelima Ramaraju (Sr. Director \u0026ndash; Global Impact), Ashley Rutter (Talent Acquisition), and Allie Gauthier (Talent Acquisition) will share information about careers at LLamasoft as well as discuss new programs to provide:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ELLamasoft\u0026rsquo;s recent acquisition of Opex Analytics\u003C\/li\u003E\r\n\t\u003Cli\u003ECase studies discussion\u003C\/li\u003E\r\n\t\u003Cli\u003EInformation relating to careers\/culture, hints on recruiting, Q\u0026amp;A, etc.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EPlease RSVP at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.surveymonkey.com\/r\/Z6X2DDG\u0022\u003Ehttps:\/\/www.surveymonkey.com\/r\/Z6X2DDG\u003C\/a\u003E if you plan on attending.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELLamasoft will hold an information session at the School of Industrial and Systems Engineering in addition to their Georgia Tech Supply Chain Day recruiting efforts.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"An opportunity for students interested in supply chain to learn about the organization and ask questions"}],"uid":"27233","created_gmt":"2020-01-25 14:36:36","changed_gmt":"2020-01-25 14:38:55","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-05T13:00:00-05:00","event_time_end":"2020-02-05T15:00:00-05:00","event_time_end_last":"2020-02-05T15:00:00-05:00","gmt_time_start":"2020-02-05 18:00:00","gmt_time_end":"2020-02-05 20:00:00","gmt_time_end_last":"2020-02-05 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631668":{"id":"631668","type":"image","title":"LLamasoft Information Session","body":null,"created":"1579962643","gmt_created":"2020-01-25 14:30:43","changed":"1579962643","gmt_changed":"2020-01-25 14:30:43","alt":"LLamasoft Information Session","file":{"fid":"240345","name":"GTSCL-DigitalSignage_16by9.jpg","image_path":"\/sites\/default\/files\/images\/GTSCL-DigitalSignage_16by9_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GTSCL-DigitalSignage_16by9_1.jpg","mime":"image\/jpeg","size":167752,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GTSCL-DigitalSignage_16by9_1.jpg?itok=bPW6mSrO"}}},"media_ids":["631668"],"related_links":[{"url":"https:\/\/www.surveymonkey.com\/r\/Z6X2DDG","title":"Please register online to attend"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"1996","name":"Recruiting"},{"id":"1577","name":"career"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631145":{"#nid":"631145","#data":{"type":"event","title":"ISyE Statistic Seminar - Ruey S. Tsay","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EStatistical Learning for Big Dependent Data\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EMost works in the machine learning and high-dimensional statistical inference assume independence. Most data, on the other hand, are either dynamically or spatially dependent. In this talk, I discuss the impact of dependence on statistical inference of high-dimensional data analysis, including LASSO regression and generalized linear models. The presentation is based on some recent joint papers, focusing on modeling big dependent data for which either the dimension or the sample size or both are large. We demonstrate the analyses using PM2.5 data collected at multiple monitoring stations and at various frequencies.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ERuey S. Tsay is H.G.B. Alexander Professor of Econometrics \u0026amp; Statistics, Booth School\u003Cbr \/\u003E\r\nof Business, University of Chicago. He earned his PhD from the University of Wisconsin\u003Cbr \/\u003E\r\n- Madison and was with Carnegie Mellon University before joining Chicago in 1989. His\u003Cbr \/\u003E\r\nresearch interest includes \fnancial econometrics, analysis of high-dimensional dependent\u003Cbr \/\u003E\r\ndata, forecasting, and time-series analysis. He served as co-editor of the Journal of Busi-\u003Cbr \/\u003E\r\nness and Economic Statistics from 1995 to 1997, Journal of Forecasting from 2006-2013,\u003Cbr \/\u003E\r\nand Statistica Sinica from 2014-2017. Currently, he is a co-editor of the Probability and\u003Cbr \/\u003E\r\nStatistics Book Series of Wiley.\u0026nbsp;Professor Tsay published widely in leading econometric and statistical journals with more\u0026nbsp;than 115 referred articles. He is the author of Analysis of Financial Time Series (3rd\u0026nbsp;ed., 2010, Wiley), An Introduction to Analysis of Financial Data with R (2013, Wiley),\u0026nbsp;and Multivariate Time Series Analysis (2014, Wiley), and co-author of Nonlinear Time\u0026nbsp;Series Analysis (with R. Chen, 2019, Wiley) and Statistical Learning for Big Dependent\u0026nbsp;Data (with D. Pe~na, 2020, Wiley, forthcoming). He received many honors and awards,\u0026nbsp;including an elected member of Academia Sinica, Taiwan, and a fellow of the American\u0026nbsp;Statistical Association and the Institute of Mathematical Statistics. He also serves on\u0026nbsp;advisory boards of several research institutes and has given invited lectures at the IMF\u0026nbsp;(Head quarter, Washington, DC) and Central Banks of several countries.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EMost works in the machine learning and high-dimensional statistical inference assume independence. Most data, on the other hand, are either dynamically or spatially dependent. In this talk, I discuss the impact of dependence on statistical inference of high-dimensional data analysis, including LASSO regression and generalized linear models. The presentation is based on some recent joint papers, focusing on modeling big dependent data for which either the dimension or the sample size or both are large. We demonstrate the analyses using PM2.5 data collected at multiple monitoring stations and at various frequencies.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Statistical Learning for Big Dependent Data"}],"uid":"34977","created_gmt":"2020-01-15 19:26:13","changed_gmt":"2020-01-17 14:06:53","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-09T13:00:00-04:00","event_time_end":"2020-03-09T14:00:00-04:00","event_time_end_last":"2020-03-09T14:00:00-04:00","gmt_time_start":"2020-03-09 17:00:00","gmt_time_end":"2020-03-09 18:00:00","gmt_time_end_last":"2020-03-09 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"630115":{"#nid":"630115","#data":{"type":"event","title":"ISyE Seminar - Julia Yan *CANCELLED*","body":"","field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Americans with Disabilities Act of 1990 mandates that door-to-door transit options be provided to those who cannot use the regular transit system due to disability. Paratransit agencies operate fleets of vehicles to fulfill daily requests for transportation, which are collected one to seven days ahead of time. Although paratransit is an essential safety net, it is also expensive to operate and requires large government subsidies. These financial difficulties, combined with significant improvements in integer optimization solvers in recent years, have let to interest in developing large-scale optimization algorithms for paratransit. We provide a cluster-then-optimize approach to servicing paratransit requests subject to labor constraints; this approach shows strong performance while also being tractable for daily use. Our case study is based on real data from Boston, MA ranging from 3,000 to 7,000 requests per day, and our algorithms improve upon Boston\u0026rsquo;s current state by over 30%.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe second part of the talk concerns inference of transit demand data, which is an essential input to any decision model. It is sometimes possible to track anonymized users through their commutes, accomplished through previous studies on smart cards, license plates, and mobile phones.\u0026nbsp; However, widely-available data sources are frequently in aggregated forms such as entry and exit counts, and one must recover the original demand from these aggregated counts. Such problems are generally underspecified. To address this, we present an optimization framework to recover origin-destination matrices under minimal assumptions, incorporating reasonable physical constraints such as flow conservation, smoothness, and symmetry. The proposed method is evaluated and shows strong improvement over the maximum entropy method on a variety of real-world data sets from Boston, New York City, and San Francisco, comprising tens to hundreds of stations.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"From data to decisions in urban transit and logistics"}],"uid":"34868","created_gmt":"2019-12-17 13:37:11","changed_gmt":"2020-01-14 19:52:46","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-16T11:00:00-05:00","event_time_end":"2020-01-16T12:00:00-05:00","event_time_end_last":"2020-01-16T12:00:00-05:00","gmt_time_start":"2020-01-16 16:00:00","gmt_time_end":"2020-01-16 17:00:00","gmt_time_end_last":"2020-01-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EFrom data to decisions in urban transit and logistics\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Americans with Disabilities Act of 1990 mandates that door-to-door transit options be provided to those who cannot use the regular transit system due to disability. Paratransit agencies operate fleets of vehicles to fulfill daily requests for transportation, which are collected one to seven days ahead of time. Although paratransit is an essential safety net, it is also expensive to operate and requires large government subsidies. These financial difficulties, combined with significant improvements in integer optimization solvers in recent years, have let to interest in developing large-scale optimization algorithms for paratransit. We provide a cluster-then-optimize approach to servicing paratransit requests subject to labor constraints; this approach shows strong performance while also being tractable for daily use. Our case study is based on real data from Boston, MA ranging from 3,000 to 7,000 requests per day, and our algorithms improve upon Boston\u0026rsquo;s current state by over 30%.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe second part of the talk concerns inference of transit demand data, which is an essential input to any decision model. It is sometimes possible to track anonymized users through their commutes, accomplished through previous studies on smart cards, license plates, and mobile phones.\u0026nbsp; However, widely-available data sources are frequently in aggregated forms such as entry and exit counts, and one must recover the original demand from these aggregated counts. Such problems are generally underspecified. To address this, we present an optimization framework to recover origin-destination matrices under minimal assumptions, incorporating reasonable physical constraints such as flow conservation, smoothness, and symmetry. The proposed method is evaluated and shows strong improvement over the maximum entropy method on a variety of real-world data sets from Boston, New York City, and San Francisco, comprising tens to hundreds of stations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EJulia Yan is a fifth-year PhD student at the Operations Research Center at MIT, advised by Dimitris Bertsimas.\u0026nbsp; She is interested in large-scale, data-driven optimization, and is especially motivated by applications to urban operations and the public good. Prior to coming to MIT, Julia spent two years in operations consulting.\u0026nbsp; She completed her undergraduate degree at Princeton University in 2013.\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630116":{"#nid":"630116","#data":{"type":"event","title":"ISyE Seminar - Jing Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: Knowledge-infused statistical machine learning in modeling and inference of Medical Image Data\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn many areas of medicine, domain knowledge is available in the forms of bio-mechanistic models, human anatomy, and even descriptive statements. Although typically approximate and incomplete, this knowledge represents a wealth of cumulative human intelligence, which can be leveraged and integrated with data-driven learning algorithms for greater efficiency, interpretability, and robustness. My research develops modeling frameworks and associated estimation\/inference algorithms to integrate human intelligence and machine intelligence, which is called \u0026ldquo;knowledge-infused statistical machine learning.\u0026rdquo; The methodological developments are within the context of using medical imaging and other data to improve the characterization, diagnosis, and treatment of cancer and other diseases.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will introduce several new models and algorithms developed under this theme, driven by the need of improving cancer treatment precision to tackle not only inter- but also intra-tumor heterogeneity. I will present a modeling framework that integrates bio-mechanistic models with MRI and biopsy data to predict the spatial distribution of treatment-informed molecular markers within each tumor. Several extensions of this framework will also be presented, including an algorithm for simultaneous feature and instance selection and a Gaussian process model with knowledge regularization for uncertainty reduction. Furthermore, I will briefly talk about a few other medical domains where knowledge-infusion statistical machine learning has been investigated. I will end the talk by briefly going over my other research efforts and plans.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jing Li is an Associate Professor in Industrial Engineering \u0026amp; Computer Engineering at Arizona State University (\u003Ca href=\u0022https:\/\/www.public.asu.edu\/~jli09\/\u0022\u003Ehttps:\/\/www.public.asu.edu\/~jli09\/\u003C\/a\u003E). She received her B.S. from Tsinghua University, and an M.A. in Statistics and a Ph.D. in Industrial and Operations Engineering from the University of Michigan. Her research interests are data fusion and statistical machine learning intersecting with health\/medical domains having complex data structures.\u0026nbsp; Dr. Li\u0026rsquo;s research is sponsored by NIH, NSF, DOD, Arizona State, Mayo Clinic, and biomedical industry. She co-founded the ASU-Mayo Clinic Center for Innovative Imaging, conducting various collaborative projects with the Departments of Radiology, Neurology, Neurosurgery, and Radiation Oncology at Mayo Clinic. She is an NSF CAREER awardee, a recipient of a Best Paper Award and a Best Application Paper Award from \u003Cem\u003EIISE Transactions\u003C\/em\u003E, a recipient of the Harold Wolff-John Graham Award (Best Paper) from the American Academy of Neurology, and a recipient of the Harold G. Wolff Lecture Award (Best Paper) by the American Headache Society. She is a former Chair for the Data Mining Subdivision of INFORMS. She is currently the Editor-in-Chief for \u003Cem\u003EQuality Technology and Quantitative Management\u003C\/em\u003E, an Associate Editor \u003Cem\u003Efor IEEE Transactions on Automation Science and Engineering\u003C\/em\u003E, an Associate Editor for \u003Cem\u003EIISE Transactions on Healthcare Systems Engineering\u003C\/em\u003E, and on the editorial board of \u003Cem\u003EJournal of Quality Technology\u003C\/em\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: Knowledge-infused statistical machine learning in modeling and inference of Medical Image Data\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn many areas of medicine, domain knowledge is available in the forms of bio-mechanistic models, human anatomy, and even descriptive statements. Although typically approximate and incomplete, this knowledge represents a wealth of cumulative human intelligence, which can be leveraged and integrated with data-driven learning algorithms for greater efficiency, interpretability, and robustness. My research develops modeling frameworks and associated estimation\/inference algorithms to integrate human intelligence and machine intelligence, which is called \u0026ldquo;knowledge-infused statistical machine learning.\u0026rdquo; The methodological developments are within the context of using medical imaging and other data to improve the characterization, diagnosis, and treatment of cancer and other diseases.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will introduce several new models and algorithms developed under this theme, driven by the need of improving cancer treatment precision to tackle not only inter- but also intra-tumor heterogeneity. I will present a modeling framework that integrates bio-mechanistic models with MRI and biopsy data to predict the spatial distribution of treatment-informed molecular markers within each tumor. Several extensions of this framework will also be presented, including an algorithm for simultaneous feature and instance selection and a Gaussian process model with knowledge regularization for uncertainty reduction. Furthermore, I will briefly talk about a few other medical domains where knowledge-infusion statistical machine learning has been investigated. I will end the talk by briefly going over my other research efforts and plans.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Knowledge-infused statistical machine learning in modeling and inference of Medical Image Data"}],"uid":"34868","created_gmt":"2019-12-17 13:38:35","changed_gmt":"2020-01-14 16:29:33","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-22T11:00:00-05:00","event_time_end":"2020-01-22T12:00:00-05:00","event_time_end_last":"2020-01-22T12:00:00-05:00","gmt_time_start":"2020-01-22 16:00:00","gmt_time_end":"2020-01-22 17:00:00","gmt_time_end_last":"2020-01-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"630977":{"#nid":"630977","#data":{"type":"event","title":"SCL Course: APICS Certified Supply Chain Professional (CSCP) Boot Camp","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECOURSE DESCRIPTION\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis accelerated learning boot camp covers 2.5 days of instructor-led facilitation and is designed to cover key learning points of the CSCP learning system. The learning system content is included in the course.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis boot camp is an exam preparatory course for the self-study learner planning to take the APICS CSCP certification exam. The course accelerates learning by focusing on key concepts and terminology covered in the exam. This boot camp, in tandem with the reading materials and online learning courseware, provides a roadmap for those who intend to sit for the exam.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EThe APICS Certified Supply Chain Professional (CSCP) program takes a broad view of the field, extending beyond internal operations to encompass all the steps throughout the supply chain--from the supplier, through the company, to the end consumer--and how to effectively manage the integration of these activities to maximize the company\u0026rsquo;s value chain.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EThe CSCP program provides candidates with the necessary tools to effectively manage global supply chain activities and enables them to implement best practice approaches to increase supply chain efficiencies.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWHO SHOULD ATTEND\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThe APICS CSCP is designed for supply chain professionals and people managing and planning extended supply chains especially people in:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ESupply chain design\u003C\/li\u003E\r\n\t\u003Cli\u003ESupplier management\u003C\/li\u003E\r\n\t\u003Cli\u003ETransportation\u003C\/li\u003E\r\n\t\u003Cli\u003ESupply chain management\u003C\/li\u003E\r\n\t\u003Cli\u003EDistribution channels\u003C\/li\u003E\r\n\t\u003Cli\u003E3PL, 4PL management\u003C\/li\u003E\r\n\t\u003Cli\u003ECustomer management\u003C\/li\u003E\r\n\t\u003Cli\u003ESupply chain consulting\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EHOW YOU WILL BENEFIT\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EMaster advanced supply chain management principles that extend beyond an organization\u0026rsquo;s internal end-to-end operations from suppliers to customers\u003C\/li\u003E\r\n\t\u003Cli\u003EApply supply chain knowledge and analytical skills to streamline operations and produce bottom line results\u003C\/li\u003E\r\n\t\u003Cli\u003EExplain the role of each element of the integrated supply chain concept\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand how successful supply chain management adds value to your organization\u003C\/li\u003E\r\n\t\u003Cli\u003ELearn how to develop a supply chain strategy that aligns with corporate strategy\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand natural dynamics within the supply chain to optimize performance and profitability\u003C\/li\u003E\r\n\t\u003Cli\u003EEvaluate the process constraints and choices within Global Logistics to establish a plan linked to overall strategy\u003C\/li\u003E\r\n\t\u003Cli\u003EEffectively use customer data to improve service performance and increase value to suppliers and customers\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand the strategic importance of purchasing and supply relationships\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand the innovative technologies enabling collaborative commerce and global visibility\u003C\/li\u003E\r\n\t\u003Cli\u003EApply technology to enhance performance of distribution, reverse logistics, and global supply chain communications\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWHAT IS COVERED\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESupply Chain Design\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EAddresses the concepts and strategies used for developing a supply chain strategy aligning with business goals and corporate strategy\u003C\/li\u003E\r\n\t\u003Cli\u003EDesigning a supply chain for the flow of product, information and cash\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstanding and using the SCORreg model\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESupply Chain Planning and Execution\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EAddresses the processes required to procure and deliver goods and services\u003C\/li\u003E\r\n\t\u003Cli\u003EManagement of demand and supply relationships\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESupply Chain Planning and Execution\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ERelated concepts of order management and customer service\u003C\/li\u003E\r\n\t\u003Cli\u003EDefining and measuring logistics customer service outputs\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESupply Chain Improvement and Best Practices\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EManaging and balancing supply and demand through measuring, analyzing and improving supply chain processes\u003C\/li\u003E\r\n\t\u003Cli\u003ECompliance with standards and regulations\u003C\/li\u003E\r\n\t\u003Cli\u003EThe importance of sustainable best practices and social responsibility\u003C\/li\u003E\r\n\t\u003Cli\u003EAssessment of risk within the supply chain\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe course accelerates learning by focusing on key concepts and terminology covered in the exam. This boot camp, in tandem with the reading materials and online learning courseware, provides a roadmap for those who intend to sit for the exam.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"An exam preparatory course for the self-study learner planning to take the APICS CSCP certification exam"}],"uid":"35224","created_gmt":"2020-01-13 19:06:33","changed_gmt":"2020-01-13 19:55:42","author":"gmagana3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-27T09:00:00-04:00","event_time_end":"2020-04-29T13:00:00-04:00","event_time_end_last":"2020-04-29T13:00:00-04:00","gmt_time_start":"2020-04-27 13:00:00","gmt_time_end":"2020-04-29 17:00:00","gmt_time_end_last":"2020-04-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/pe.gatech.edu\/courses\/apics-certified-supply-chain-professional-cscp-boot-camp","title":"Course registration page"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/apicscscp","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"177949","name":"APICS CSCP"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630114":{"#nid":"630114","#data":{"type":"event","title":"ISyE Seminar -  Huajie Qian","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Efficient Uncertainty Quantification in Simulation Analysis\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Simulation-based prediction, for instance in discrete-event analysis and machine learning, relies on models that often are contaminated with errors when calibrating from data. These errors, if overlooked, can result in incorrect inference and underestimation of\u0026nbsp;risks that degrade decision-making. Existing approaches to quantify these errors face several challenges from high computational demand, undercoverage, to the opaqueness in parameter tuning. We present several methods to combat these issues, by\u0026nbsp;injecting subsampling, distributionally robust optimization, and random perturbation respectively into simulation runs. We explain the statistical mechanisms of these approaches and why they help resolve each of the discussed challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Huajie Qian is a Ph.D. candidate in the department of Industrial Engineering and Operations Research at Columbia University, advised by Henry Lam. His research borrows tools from statistics and machine learning to develop data-driven methodologies for\u0026nbsp;stochastic simulation and optimization that can deal with uncertainties from data in an efficient and principled way. He received his M.S. degree in Applied and Interdisciplinary Mathematics from University of Michigan, and B.S. degree in Mathematics from\u0026nbsp;Fudan University.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Efficient Uncertainty Quantification in Simulation Analysis\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Simulation-based prediction, for instance in discrete-event analysis and machine learning, relies on models that often are contaminated with errors when calibrating from data. These errors, if overlooked, can result in incorrect inference and underestimation of\u0026nbsp;risks that degrade decision-making. Existing approaches to quantify these errors face several challenges from high computational demand, undercoverage, to the opaqueness in parameter tuning. We present several methods to combat these issues, by\u0026nbsp;injecting subsampling, distributionally robust optimization, and random perturbation respectively into simulation runs. We explain the statistical mechanisms of these approaches and why they help resolve each of the discussed challenges.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Efficient Uncertainty Quantification in Simulation Analysis"}],"uid":"34868","created_gmt":"2019-12-17 13:24:03","changed_gmt":"2020-01-03 19:31:53","author":"sbryantturner3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-09T11:00:00-05:00","event_time_end":"2020-01-09T12:00:00-05:00","event_time_end_last":"2020-01-09T12:00:00-05:00","gmt_time_start":"2020-01-09 16:00:00","gmt_time_end":"2020-01-09 17:00:00","gmt_time_end_last":"2020-01-09 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"626965":{"#nid":"626965","#data":{"type":"event","title":"SCL IRC Seminar: Delivery in the Age of the Shared Economy","body":[{"value":"\u003Cp\u003EThe Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested faculty, students and corporate partners as well as the general public. If you are interested in attending any of the sessions, please review the below information and register online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESESSION OVERVIEW\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe success of on-demand platforms to obtain a ride, e.g., Uber and Lyft, which rely on crowd-sourced transportation capacity, has radically changed the view on the potential and benefits of crowd-sourced transportation and delivery. Many retail stores, for example, are examining the pros and cons of introducing crowd-sourced delivery in their omni-channel strategies. We discuss recent trends in this rapidly evolving area, and highlight challenges and opportunities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESESSION SPEAKER\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/users\/martin-savelsbergh\u0022\u003E\u003Cstrong\u003EMartin Savelsbergh\u003C\/strong\u003E\u003C\/a\u003E, James C. Edenfield Chair and Professor and Co-Director Supply Chain and Logistics Institute\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/sclirc\/seminars\/register\u0022\u003E\u003Cstrong\u003ERegister Online for upcoming SCL IRC seminars\u003C\/strong\u003E\u003C\/a\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EAttendance to the sessions is complimentary for SCL corporate partners, SCL Industry Advisory Board members, SCL affiliated faculty and students, and students enrolled in the Masters in Supply Chain Engineering program.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo take advantage of the included lunch, you must register by deadline noted on the registration page.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you have any questions, please email event@scl.gatech.edu.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested SCL faculty, students and corporate partners as well as the general public.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Join the Supply Chain and Logistics Institute for our monthly seminar to learn about affiliated faculty research."}],"uid":"27233","created_gmt":"2019-10-01 16:18:31","changed_gmt":"2019-12-13 14:06:02","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-12T12:00:00-05:00","event_time_end":"2020-02-12T13:30:00-05:00","event_time_end_last":"2020-02-12T13:30:00-05:00","gmt_time_start":"2020-02-12 17:00:00","gmt_time_end":"2020-02-12 18:30:00","gmt_time_end_last":"2020-02-12 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"626964":{"id":"626964","type":"image","title":"SCL IRC Seminar: Delivery in the Age of the Shared Economy","body":null,"created":"1569946691","gmt_created":"2019-10-01 16:18:11","changed":"1576245942","gmt_changed":"2019-12-13 14:05:42","alt":"","file":{"fid":"239921","name":"GTSCL-DigitalSignage_16by9.jpg","image_path":"\/sites\/default\/files\/images\/GTSCL-DigitalSignage_16by9_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GTSCL-DigitalSignage_16by9_0.jpg","mime":"image\/jpeg","size":160294,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GTSCL-DigitalSignage_16by9_0.jpg?itok=AhMv45qA"}}},"media_ids":["626964"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/sclirc\/seminars\/register","title":"Register Online for upcoming SCLIRC seminars"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"122741","name":"physical internet"},{"id":"5949","name":"delivery"},{"id":"182514","name":"digital transformation"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EThe cost to attend is $25 per session which includes a boxed lunch*. Attendance to the sessions is complimentary for SCL corporate partners, SCL Industry Advisory Board members, SCL affiliated faculty and students, and students enrolled in the Masters in Supply Chain Engineering program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E*To take advantage of the included lunch, you must register by the noted deadlines. If you have any questions, please email\u0026nbsp;\u003Ca href=\u0022mailto:event@scl.gatech.edu?subject=SCLIRC%20Seminar%20Series\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"626963":{"#nid":"626963","#data":{"type":"event","title":"SCL IRC Seminar: The Local Character of Urban Air Mobility: Opportunities and Challenges\u200b","body":[{"value":"\u003Cp\u003EThe Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested faculty, students and corporate partners as well as the general public. If you are interested in attending any of the sessions, please review the below information and register online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESESSION OVERVIEW\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUrban air mobility (UAM) with electric vertical takeoff and landing (eVTOL) aircraft is emerging as a promising aviation market for both cargo delivery and passenger travel. The rise of UAM is being driven by the convergence of two technologies: autonomy and electric aircraft propulsion. Although promising, these technologies place limits on the discovery of viable markets, the timeline of introduction, and the design of operational paradigms. In particular, electric propulsion\u0026mdash;when achieved with battery energy storage\u0026mdash;is highly constraining in terms of aircraft payload, range, and speed performance and in terms of operational tempo and ground infrastructure. This talk will discuss recent work in modeling aircraft performance and operations for UAM and will highlight the challenges and opportunities in particular urban markets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESESSION SPEAKER\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/users\/brian-german\u0022\u003E\u003Cstrong\u003EBrian German\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;Daniel Guggenheim School of Aerospace Engineering\u200b\u200b\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/sclirc\/seminars\/register\u0022\u003E\u003Cstrong\u003ERegister Online for upcoming SCL IRC seminars\u003C\/strong\u003E\u003C\/a\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EAttendance to the sessions is complimentary for SCL corporate partners, SCL Industry Advisory Board members, SCL affiliated faculty and students, and students enrolled in the Masters in Supply Chain Engineering program.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo take advantage of the included lunch, you must register by deadline noted on the registration page.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you have any questions, please email event@scl.gatech.edu.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested SCL faculty, students and corporate partners as well as the general public.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Join the Supply Chain and Logistics Institute for our monthly seminar to learn about affiliated faculty research."}],"uid":"27233","created_gmt":"2019-10-01 16:15:16","changed_gmt":"2019-11-20 19:13:56","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-15T12:00:00-05:00","event_time_end":"2020-01-15T13:30:00-05:00","event_time_end_last":"2020-01-15T13:30:00-05:00","gmt_time_start":"2020-01-15 17:00:00","gmt_time_end":"2020-01-15 18:30:00","gmt_time_end_last":"2020-01-15 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"626962":{"id":"626962","type":"image","title":"SCL IRC Seminar: The Local Character of Urban Air Mobility: Opportunities and Challenges\u200b","body":null,"created":"1569946386","gmt_created":"2019-10-01 16:13:06","changed":"1569946386","gmt_changed":"2019-10-01 16:13:06","alt":"","file":{"fid":"238711","name":"GTSCL-SCLIRC_German.jpg","image_path":"\/sites\/default\/files\/images\/GTSCL-SCLIRC_German.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GTSCL-SCLIRC_German.jpg","mime":"image\/jpeg","size":172047,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GTSCL-SCLIRC_German.jpg?itok=iActSdc8"}}},"media_ids":["626962"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/sclirc\/seminars\/register","title":"Register Online for upcoming SCLIRC seminars"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"122741","name":"physical internet"},{"id":"180975","name":"drones; UAV; unmanned aerial vehicles"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EThe cost to attend is $25 per session which includes a boxed lunch*. Attendance to the sessions is complimentary for SCL corporate partners, SCL Industry Advisory Board members, SCL affiliated faculty and students, and students enrolled in the Masters in Supply Chain Engineering program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E*To take advantage of the included lunch, you must register by the noted deadlines. If you have any questions, please email\u0026nbsp;\u003Ca href=\u0022mailto:event@scl.gatech.edu?subject=SCLIRC%20Seminar%20Series\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}