{"636358":{"#nid":"636358","#data":{"type":"event","title":"PhD Defense by Yasaman Shahi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EThesis\u0026nbsp;Title\u003C\/strong\u003E: Analytics for Sustainable and Retail Operations\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisors\u003C\/strong\u003E: Dr. Beril Toktay (Scheller College of Business), Dr. Pinar Keskinocak\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee members\u003C\/strong\u003E:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. He Wang\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. David Goldsman\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Kris Ferreira (Harvard Business School)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate and Time\u003C\/strong\u003E:\u0026nbsp; 10:30 am-12\u0026nbsp;pm EST, Friday, July 3rd, 2020\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMeeting URL\u003C\/strong\u003E:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/955110128\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/bluejeans.com\/955110128\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMeeting ID\u003C\/strong\u003E:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E955 110 128\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\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe vast proliferation of data has significantly transformed operational decision making in recent years. In this thesis, we present two application of analytics for non-profit and for profit organizations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChapter 2\u0026nbsp;demonstrates an application of analytics in sustainable operations.\u0026nbsp;Government regulators such as the U.S. Environmental Protection Agency (EPA) are obligated to inspect facilities regularly to ensure their compliance with environmental laws and requirements.\u0026nbsp;Faced with limited budget and resources, regulators can only inspect a small fraction of facilities within certain time frame. We propose a new inspection strategy that can help environmental regulators prioritize facilities to be inspected under a limited budget. We formulate the problem as a restless multi-armed bandit model and develop an index-based inspection policy.\u0026nbsp;\u0026nbsp;We also investigate how to extend the model to incorporate heterogeneous inspection costs, partial and inaccurate inspections, and the possibility of environmental disaster occurrence.\u0026nbsp;\u0026nbsp;Simulations using real data from EPA show the benefits of our proposed index-based compliance monitoring strategy over other benchmark policies used in academic literature and practice in reducing the harm to the environment and public health.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChapter 3 is the reflection of our collaboration with a consumer electronics retailer. The goal of this work is measuring cross-price elasticities both within product group and among competitor retailers to design a multi-product demand prediction and price optimization. In fact, we aim to show how a retailer can benefit from the historical data to make a significantly more accurate demand prediction by taking the substitution and competition effects into account.\u0026nbsp;\u0026nbsp;Estimating the cross price elasticities would allow retailers to better understand the impact of price and assortment changes for products within a category on demand of other products in the category, and would ultimately help them make multi-product pricing decisions. Multi-product demand prediction models typically lack either flexibility or interpretability. We propose a neural network framework that balances these two and show how it can be used in price optimization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn chapter 4, we conclude with major takeaways and scope for future work.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Analytics for Sustainable and Retail Operations"}],"uid":"27707","created_gmt":"2020-06-19 17:49:18","changed_gmt":"2020-06-19 17:49:18","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-07-03T11:30:00-04:00","event_time_end":"2020-07-03T13:00:00-04:00","event_time_end_last":"2020-07-03T13:00:00-04:00","gmt_time_start":"2020-07-03 15:30:00","gmt_time_end":"2020-07-03 17:00:00","gmt_time_end_last":"2020-07-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}