Room: Time: Date: 33-116 12:00 pm Tuesday, April 3 rd Variation Reduction Using in Situ Sensing and Automatic Process Adjustment Abstract: The rapid development of distributed sensing has facilitated wide collection of in-situ process data. It stimulates increasing research interests in employing process control methods for quality variation reduction. This talk will use two examples to discuss different control strategies for process adjustment: one is the feed forward control based on a static response surface model, in which a cautious control strategy is developed to explicitly consider observation uncertainty in adjusting the settings of controllable factors. The resultant performance is consistently more favorable when compared with the certainty equivalence control strategy and the robust parameter design. A case study of shut height adjustment in a sheet-metal stamping process is illustrated. The second example is to implement the feedback control based on an ARMAX model for thickness variation reduction in roll-to-roll thin film decomposition process. A SPC-based supervisory Generalized Predictive Control (GPC) is presented, where SPC techniques are used to monitor and estimate process changes during production for adaptively changing the process adjustment law. MIT Laboratory for Manufacturing & Productivity JJjjjjjjj Jionghua (Judy) Jin Professor Dept. of Industrial & Operations Engineering University of Michigan Jionghua (Judy) Jin is currently a professor in the Department of Industrial and Operations Engineering at the University of Michigan. She is also serving as the Director of Manufacturing Engineering Program and Co- Director of Global Automotive and Manufacturing Engineering Program in InterPro (Michigan Interdisciplinary Graduate Engineering and Professional Education). She is currently serving as the elected Vice President of Institute for Operations Research and the Management Sciences (INFORMS) for International Activities, and an associate editor for Technometrics and IIE Transactions on Quality and Reliability. More information about Dr. Judy Jin can be found at http://www-personal.umich.edu/~jhjin/.

Dept. of Industrial & Variation Reduction Using in Situ ... · JJjjjjjjj Jionghua (Judy) Jin Professor Dept. of Industrial & Operations Engineering University of Michigan Jionghua

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Page 1: Dept. of Industrial & Variation Reduction Using in Situ ... · JJjjjjjjj Jionghua (Judy) Jin Professor Dept. of Industrial & Operations Engineering University of Michigan Jionghua

Pizza social to follow the seminar

Room: Time: Date:

33-116 12:00 pm

Tuesday, April 3rd

Variation Reduction Using in Situ Sensing

and Automatic Process Adjustment Abstract: The rapid development of distributed sensing has facilitated wide collection of in-situ process data. It stimulates increasing research interests in employing process control methods for quality variation reduction. This talk will use two examples to discuss different control strategies for process adjustment: one is the feed forward control based on a static response surface model, in which a cautious control strategy is developed to explicitly consider observation uncertainty in adjusting the settings of controllable factors. The resultant performance is consistently more favorable when compared with the certainty equivalence control strategy and the robust parameter design. A case study of shut height adjustment in a sheet-metal stamping process is illustrated. The second example is to implement the feedback control based on an ARMAX model for thickness variation reduction in roll-to-roll thin film decomposition process. A SPC-based supervisory Generalized Predictive Control (GPC) is presented, where SPC techniques are used to monitor and estimate process changes during production for adaptively changing the process adjustment law.

MIT Laboratory for Manufacturing & Productivity

JJjjjjjjj

Jionghua (Judy) Jin

Professor Dept. of Industrial & Operations Engineering University of Michigan

Jionghua (Judy) Jin is currently a professor in the Department of Industrial and Operations Engineering at the University of Michigan. She is also serving as the Director of Manufacturing Engineering Program and Co-Director of Global Automotive and Manufacturing Engineering Program in InterPro (Michigan Interdisciplinary Graduate Engineering and Professional Education). She is currently serving as the elected Vice President of Institute for Operations Research and the Management Sciences (INFORMS) for International Activities, and an associate editor for Technometrics and IIE Transactions on Quality and Reliability. More information about Dr. Judy Jin can be found at http://www-personal.umich.edu/~jhjin/.