Judy Jin, Professor
Department of Industrial and Operations Engineering
University Of Michigan, Ann Arbor, MI 48105

Time：2017-12-26   10:00

Room： 702 CEM  

Fine-scale characterization and monitoring of spatiotemporal processes are crucial for high-performance quality control of manufacturing processes, such as ultrasonic metal welding and high-precision machining. However, it is generally expensive to acquire high-resolution spatiotemporal data in manufacturing due to the high cost of the 3D measurement system or the time-consuming measurement process. In this talk, a new dynamic sampling design algorithm is proposed to cost-effectively characterize spatiotemporal processes in manufacturing. A spatiotemporal state space model and Kalman filter are used to predictively determine the measurement locations using a criterion considering both the prediction performance and the measurement cost. The determination of measurement locations is formulated as a binary integer programming problem, and genetic algorithm is applied for searching the optimal design. In addition, a new test statistic is proposed to monitor and update the surface progression rate. Both simulated and real-world spatiotemporal data are used to demonstrate the effectiveness of the proposed method.
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Short Bio for Professor Jionghua (Judy) Jin
Jionghua (Judy) Jin is currently a professor in the Department of Industrial and Operations Engineering and the Director of Manufacturing Engineering Program at the University of Michigan. She received her BS and MS in Mechanical Engineering at Southeast University (Nanjing) in 1984 and 1987, and her PhD in Industrial and Operations Engineering at the University of Michigan in 1999, respectively.
Dr. Jin’s research focuses on developing new data analytics methodologies with broad applications in both manufacturing and service industries.  She has received numerous awards including the NSF CAREER Award, the prestigious Presidential (PECASE) Award, and 11 Best Paper Awards since 2005, etc.  She is currently a Departmental Editor for IIE Transactions, and was Vice President of INFORMS and the President of QCRE (Quality Control and Reliability Engineering) Division in Industrial Engineering (IE), and Chair of QSR (Quality, Statistics, and Reliability) Division in INFORMS. She is a Fellow of IIE and ASME, a senior member of ISI and ASQ, and a member of IEEE, INFORMS, and SME.

More information about Dr. Judy Jin can be found at http://jhjin.engin.umich.edu/