Dr. Jianjun (Jan) Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Automation from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992.
Dr. Shi is a pioneer in the development and application of data enabled manufacturing. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 31 Ph.D. graduates, 21 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 165 papers. He has served as PI and co-PI for projects totaling more than 18 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies.
The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts. As an example, Shi’s variation reduction methodologies for automotive body assembly has been implemented at GM, DaimlerChrysler and Ford, in more than 20 assembly plants. In addition, his data fusion methodologies has been implemented in OGT’s HotEye®/PRii™/PPS™ systems, which are in use by over 40 plants in the US, Argentina, Brazil, Canada, China, France, Germany, India, Japan, Korea, Singapore, and UK. The implementation of the developed technology has resulted in over $100 million in cost saving, 1.2 billion KWh in energy savings, and 50,000 tons of CO2 emission reduction per year.
Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He is currently serving as the Editor-in-Chief of the IISE Transactions, the flagship journal of the Institute of Industrial and Systems Engineers. He also serves as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering, and editor of Journal of System Science and Complexity. He is a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of Institute of Operations Research and the Management Science (INFORMS), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE).
Dr. Shi received various awards for his research and teaching, including the IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), Forging Achievement Award from Forging Industry Educational and Research Foundation (2007), Monroe-Brown Foundation Research Excellence Award (2007), the 1938E Award (1998) at The University of Michigan, and NSF CAREER Award (1996).