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Title: Risk-adjusted Performance Measuring and Monitoring in Complex Systems
Speaker: Shiyu Zhou, Associate Professor, University of Wisconsin - Madison
Abstract:
The performance of a system is generally influenced by many factors, among which some are uncontrollable factors, also called risk factors. The impact of these factors must be taken into account when we examine a system for performance improvement. On the other hand, with the rapid development of information technology, abundant data on both performance and influential factors are available in many systems. The data rich environment enables us to develop new methodologies to account for risk factors in studying system performances. This talk presents the recently developed methodologies for risk-adjusted performance measuring and monitoring in manufacturing systems and healthcare delivery systems based on Graphical Models and Bayesian inference.
Bio:
Dr. Shiyu Zhou is an associate professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He got his B.S. and M.S. in Mechanical Engineering at University of Science and Technology of China in 1993 and 1996 respectively, and got his Master in Industrial Engineering and Ph.D. in Mechanical Engineering at the University of Michigan in 2000. Dr. Zhou's research focuses on the fault management of complex engineering systems by integrating statistics, system and control theory, and engineering knowledge. His research is sponsored by National Science Foundation, Department of Energy, NIST-ATP, and industries. He is a recipient of the CAREER Award from the National Science Foundation and the best application paper award from IIE Transactions. Dr. Zhou is a member of IIE, INFORMS, ASME, and SME.
