Bayesian closed-loop robust process design considering model uncertainty and data quality

Linhan Ouyanga, Jianxiong Chenb, Yizhong Mac, Chanseok Parkd & Jionghua (Judy) Jine*a College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China; b School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China; c School of Economics and Management, Nanjing University of Science and Technology, Nanjing, P.R. China; d Department of Industrial Engineering, Pusan National University, Busan, Korea; e Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USALinhan Ouyang is an associate professor in the College of Economics and Management at Nanjing University of Aeronautics and Astronautics, China. He holds a BEng degree in industrial engineering from Nanchang University, P.R. China, and a Ph.D. degree in management science and engineering from Nanjing University of Science and Technology, P.R. China. His research interests are process modeling and design of experiments.Jianxiong Chen is an associate professor in the School of Mechanical Engineering and Automation at Fuzhou University, China. He holds a BEng degree in mechanical design, manufacturing and automation from Fuzhou University, P.R. China, and a Ph.D. degree in manufacturing and automation from Fuzhou University, P.R. China. His research interests are micro machining and motion control.Yizhong Ma is a professor in the Department of Management Science and Engineering, Nanjing University of Science and Technology, China. He received his B.S. in applied mathematics from Huazhong Normal University, China, and his MS in quality engineering and Ph.D. in control science from Northwestern Polytechnical University, China. He is also assigned as the Director of Quality Society of China, and the Expert Member of Six Sigma Promotion Committee in China. His research interests include quality engineering and quality management.Chanseok Park started college as engineering student in the Department of Mechanical Engineering at Seoul National University and obtained a B.S. degree. He then received his M.A. in mathematics at University of Texas at Austin, and his doctorate in statistics at Pennsylvania State University. He is at present a professor of industrial engineering at Pusan National University, Korea. Before joining Pusan National University, he was a faculty member of Mathematical Sciences at Clemson University, Clemson SC, USA from 2001 to 2015. His research interests are quality control, reliability, and applied statistics.Jionghua (Judy) Jin is a professor in the Department of Industrial and Operations Engineering at the University of Michigan. She received her Ph.D. degree from the University of Michigan in 1999. Her recent research focuses on data fusion and analytics for system monitoring, diagnosis, quality control, and decision making. Her research emphasizes a multidisciplinary approach by integrating applied statistics, machine learning, signal processing, reliability engineering, system control, and decision-making theory.