{"683938":{"#nid":"683938","#data":{"type":"news","title":"Professor Jianjun Shi Receives 2025 Deming Lecturer Award ","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/jianjun-shi\u0022\u003EJianjun Shi\u003C\/a\u003E, the Carolyn J. Stewart Chair and Professor in\u0026nbsp;\u003Ca href=\u0022http:\/\/www.isye.gatech.edu\/\u0022\u003EGeorgia Tech\u2019s H. Milton Stewart School of Industrial and Systems Engineering (ISyE\u003C\/a\u003E), received the 2025 \u003Cstrong\u003EDeming Lecturer Award\u003C\/strong\u003E from the \u003Cstrong\u003EAmerican Statistical Association (ASA\u003C\/strong\u003E). This honor recognizes the outstanding contributions to the advancement of statistical thinking in quality control and industrial statistics.\u0026nbsp;On August 5, Shi took the stage in Nashville, Tennessee, to deliver the prestigious Deming Lecture at the Joint Statistical Meetings (JSM), an annual highlight that celebrates the lasting statistical and leadership legacy of W. Edwards Deming.\u003C\/p\u003E\u003Cp\u003EIn his address, Shi reflected on Deming\u2019s enduring impact on the global quality movement, noting his pioneering quality management principles and his role in popularizing Walter Shewhart\u2019s statistical process control (SPC) techniques in Japan. Researchers often utilize SPC to ensure that production processes operate efficiently, creating more specification-conforming products with less waste scrap.\u003C\/p\u003E\u003Cp\u003EShi also discussed the evolving landscape of modern manufacturing, highlighting how increasingly complex processes and the abundance of in-situ measurement data have created a need for a new approach. He introduced a quality engineering framework designed to enhance in-process quality improvement (IPQI) by integrating statistics and data science with engineering expertise and system theory. This approach leverages real-time sensing data to enable process fault detection, root cause diagnosis, automatic compensation, and defect prevention in smart and data rich manufacturing systems.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cQuality control is very important in all manufacturing systems,\u201d said Shi. \u201cMany pioneer works, like Taguchi\u2019s robust design, Shewhart\u2019s SPC control charts, and Deming\u2019s Total Quality Management, have been widely used for quality control applications. However, one critical information, in-site sensing signals that are readily available in manufacturing systems, are typically not used directly for quality improvement. Thus, IPQI takes advantage of in-situ sensing data, combining data science with engineering domain knowledge, for quality improvement, which leads to a paradigm shift in quality control methodology development and implementation.\u201d\u003C\/p\u003E\u003Cp\u003EThe IPQI framework has already demonstrated significant social and economic impact across industries including automotive, aerospace, semiconductor, and steel manufacturing. With advances in sensing technologies, the Internet of Things (IoT), and computational power, as well as the rapid growth of machine learning and data science, Shi believes the IPQI approach is poised to become a cornerstone of smart and autonomous manufacturing systems.\u003C\/p\u003E\u003Cp\u003ELooking ahead, the continued development of IPQI will require strong interdisciplinary collaboration in both education and research. By bringing together experts from diverse fields, researchers can push the boundaries of IPQI applications and expand its role in shaping the future of advanced manufacturing. The framework not only enhances quality control processes but also represents a key step toward building more efficient, data-driven, and intelligent production systems.\u003C\/p\u003E\u003Cp\u003E\u201cI am deeply honored and grateful to receive this award, and its recognition of the IPQI concepts, methodologies, and implementations,\u201d Shi shares. \u201cI wish the Deming Lecturer will motivate more researchers and engineers contributing to the IPQI development and implementation in modern production systems.\u0022\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJianjun Shi, Carolyn J. Stewart Chair and Professor in Georgia Tech\u2019s H. Milton Stewart School of Industrial and Systems Engineering, was honored with the 2025 Deming Lecturer Award by the American Statistical Association for his contributions to advancing statistical thinking in quality control and industrial statistics. Delivering the Deming Lecture at the Joint Statistical Meetings in Nashville, Shi reflected on W. Edwards Deming\u2019s lasting influence on the global quality movement and introduced his own framework for in-process quality improvement (IPQI).\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"In his lecture, Dr. Shi discussed a new quality engineering framework for in-process quality improvement (IPQI) that expends the boundaries of Statistical Process Control, and how IPQI is implemented in real production systems."}],"uid":"36736","created_gmt":"2025-08-19 14:28:39","changed_gmt":"2025-08-20 14:29:41","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-08-19T00:00:00-04:00","iso_date":"2025-08-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"677734":{"id":"677734","type":"image","title":"Dr.-Jianjun-Shi-Deming-Lecturer-Award.png","body":"\u003Cp\u003EProfessor Jianjun Shi being presented with the Deming Lecturer Award by Ji-Hyun Lee, president of the American Statistical Association and faculty member at the University of Florida.\u0026nbsp;\u003C\/p\u003E","created":"1755613757","gmt_created":"2025-08-19 14:29:17","changed":"1755613757","gmt_changed":"2025-08-19 14:29:17","alt":"Dr. Jianjun Shi - 2025 Deming Lecturer Award Recipient ","file":{"fid":"261667","name":"Dr.-Jianjun-Shi-Deming-Lecturer-Award.png","image_path":"\/sites\/default\/files\/2025\/08\/19\/Dr.-Jianjun-Shi-Deming-Lecturer-Award.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/08\/19\/Dr.-Jianjun-Shi-Deming-Lecturer-Award.png","mime":"image\/png","size":1550237,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/08\/19\/Dr.-Jianjun-Shi-Deming-Lecturer-Award.png?itok=ee4Syq6U"}}},"media_ids":["677734"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[{"id":"145","name":"Engineering"}],"keywords":[{"id":"6385","name":"Dr. Jianjun Shi"}],"core_research_areas":[{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EErin Whitlock Brown, Communications Manager II\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}