{"681751":{"#nid":"681751","#data":{"type":"news","title":"Dr. Jianjun Shi Awarded the Shainin Medal by the American Society for Quality (ASQ)","body":[{"value":"\u003Cp\u003EImagine a groundbreaking methodology that revolutionizes the way industries monitor and control their processes\u2014this is the essence of \u003Cstrong\u003EDr. Jianjun Shi\u0027s\u003C\/strong\u003E innovation.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/asq.org\u0022\u003E\u003Cstrong\u003EThe American Society for Quality (ASQ)\u003C\/strong\u003E\u003C\/a\u003E has awarded \u003Ca href=\u0022https:\/\/asq.org\/about-asq\/asq-awards\/shainin?srsltid=AfmBOorYsx5wYpe1-sfyjiov_ztN6_9sFRmLXKWjHKe-mstE3z0OJZjM\u0022\u003EDr. Jianjun Shi the Shainin Medal \u003C\/a\u003E\u0022for his invention and implementation of in-process quality improvement methodologies that integrate data science and systems theory to analyze in-process sensing data, enabling root cause diagnosis, automatic compensation, and defect prevention across the automotive, aerospace, steel mill, and semiconductor industries.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEach year, only one nominee receives this prestigious award, based on the criteria that a unique and\/or creative method for improving quality or products, processes, or services has been developed.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/jianjun-shi\u0022\u003EDr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor\u003C\/a\u003E in the H. Milton School of Industrial and Systems Engineering, with joint appointment in the \u003Ca href=\u0022https:\/\/www.me.gatech.edu\u0022\u003EWoodruff School of Mechanical Engineering\u003C\/a\u003E. Dr. Shi is a pioneer in the application of data fusion for quality improvements, and his work in the development and implementation of in-process quality improvement (IPQI) methodologies puts an innovative spin on the traditional quality control concepts. Dr. Shi\u2019s methodology focuses on integrating data science and system theory to achieve process monitoring, diagnosis, and control.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EIPQI Methodology\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThirty years ago, Dr. Shi identified a need for new quality improvement methods suited to data-rich manufacturing systems. Over the years, IPQI has evolved into its own research field focused on controlling manufacturing processes in real time.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPrior to the introduction of IPQI, traditional quality improvement consisted of four main components:\u0026nbsp;\u003C\/p\u003E\u003Col\u003E\u003Cli\u003Edesign of experiments (DoE),\u003C\/li\u003E\u003Cli\u003Estatistical process control (SPC),\u003C\/li\u003E\u003Cli\u003Eacceptance sampling, and\u003C\/li\u003E\u003Cli\u003Equality management.\u0026nbsp;\u003C\/li\u003E\u003C\/ol\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThese four methods are limited and can\u2019t anticipate many disturbances and failures with unknown root causes during a production period. However, IPQI uses data in every stage of a product\u2019s life cycle, which enables effective process monitoring and control.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EImpacts of IPQI\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThe IPQI-enhanced automation improve the process of conventional machine automation by providing feedback to machine inputs\/controls-- increasing precision and ensuring high-quality production in industries ranging from steel rolling to semiconductor manufacturing.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThe work of Dr. Shi has been widely utilized in manufacturing and production systems with significant economic effects. ISyE congratulates Dr. Jianjun Shi who will be formally recognized at the 2025 ASQ World Conference on Quality and Improvement in Denver, Colorado this May.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EFor more information on the Shainin Medal and ASQ, please visit the ASQ \u003Ca href=\u0022https:\/\/asq.org\/about-asq\/asq-awards\/shainin?srsltid=AfmBOorYsx5wYpe1-sfyjiov_ztN6_9sFRmLXKWjHKe-mstE3z0OJZjM\u0022\u003Ewebsite\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDr. Jianjun Shi, the Carolyn J. Stewart Chair and Professor at Georgia Tech\u0027s H. Milton School of Industrial and Systems Engineering, has been awarded the 2025 Shainin Medal by the American Society for Quality (ASQ). This recognition celebrates his pioneering \u0022In-Process Quality Improvement\u0022 (IPQI) methodologies, which integrate data science and systems theory to enable real-time process monitoring, root cause diagnosis, and defect prevention.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Redefining and shaping Manufacturing with Data-Driven Quality Improvement"}],"uid":"36284","created_gmt":"2025-04-11 18:40:34","changed_gmt":"2025-07-03 16:59:00","author":"chenriquez8","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Denver, Colorado","dateline":{"date":"2025-07-03T00:00:00-04:00","iso_date":"2025-07-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"677338":{"id":"677338","type":"image","title":"Shainin Medal, Dr. Jianjun Shi","body":null,"created":"1751517748","gmt_created":"2025-07-03 04:42:28","changed":"1751517748","gmt_changed":"2025-07-03 04:42:28","alt":"Shainin Medal, Dr. Jianjun Shi","file":{"fid":"261227","name":"Untitled-design--9-.png","image_path":"\/sites\/default\/files\/2025\/07\/03\/Untitled-design--9-.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/03\/Untitled-design--9-.png","mime":"image\/png","size":1923585,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/03\/Untitled-design--9-.png?itok=vZc_k0Bq"}},"677339":{"id":"677339","type":"image","title":"Dr. Jianjun Shi","body":null,"created":"1751518209","gmt_created":"2025-07-03 04:50:09","changed":"1751518209","gmt_changed":"2025-07-03 04:50:09","alt":"Dr. Jianjun Shi","file":{"fid":"261228","name":"janshi--1-.jpg","image_path":"\/sites\/default\/files\/2025\/07\/03\/janshi--1-.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/03\/janshi--1-.jpg","mime":"image\/jpeg","size":70056,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/03\/janshi--1-.jpg?itok=powsgKct"}}},"media_ids":["677338","677339"],"related_links":[{"url":"https:\/\/www.isye.gatech.edu\/users\/jianjun-shi","title":"Jianjun Shi | H. Milton Stewart School of Industrial and Systems Engineering "}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[{"id":"132","name":"Institute Leadership"}],"keywords":[],"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\u003ESheila Nguyen, Communications Assistant\u003C\/p\u003E\u003Cp\u003ECamille Carpenter, Communications Manager\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}