Dr. Mike Zhang·Forefront of Industrial RD in Semiconductor Manufacturing Systems: Queueing Modeling·12月27日下午·舜德楼北510 2007.12.25

报告人:Dr. Mike Zhang  
 
报告题目:Forefront of Industrial RD in Semiconductor Manufacturing Systems: Queueing Modeling    
 
时间:12月27日(星期四)下午1: 30 - 2: 30  
 
地点:工业工程系会议室,舜德楼北510  
 
参加人员:欢迎各位老师准时参加  
 
报告摘要:

Cycle time reduction has constantly been a key focus of semiconductor manufacturing.  Compared with simulation, queuing theory-based analytical modeling is much faster in estimating semiconductor manufacturing system (SMS) performance and providing more insights for performance improvement. Unfortunately, existing queuing models focus on simple extensions of the classical queuing theory and fail to question its applicability to the complicated SMS. Hence, related researches have not been employed widely in the semiconductor industry. A potential solution is also proposed by relaxing the independent assumptions in > the classical queuing theory. In this project, we use a case study on tool up/down process to illustrate how to model the dependency. We are currently exploring this potential solution, and we hope it can foster an interesting research field for the years to come.  
 
报告人简介:

Mike Tao Zhang received the M.S. and the Ph.D. degrees from the Department of Industrial Engineering and Operations Research, in 2000 and 2001 respectively, as well as the Management of Technology certificate from the Haas School of Business and the College of Engineering, in 2000, all at the University of California, Berkeley. He is currently a Senior Manager of Automation Industrial Engineering, Nano Development Center, Spansion Inc. in Sunnyvale, California, USA.  Spansion is the largest NOR Flash memory provider in the world. He has been a Senior Engineer, a Group Leader, a Department Manager, and a Staff Engineer at various Intel sites. He was awarded three patents and published over 50 papers and four books/book chapters. His research interests are industrial automation, manufacturing systems, operations research/management, and supply chain management. Dr. Zhang is a Member of the Honor Society of Phi Kappa Phi, and also a Senior Member of IEEE and IIE (the Institute of Industrial Engineers). He is Co-Chair of the IEEE Robotics and Automation Society Technical Committee on Semiconductor Manufacturing Automation. He is an Associate Editor of the IEEE Transactions on Automation Science and Engineering and a Guest Editor of Assembly Automation and the IEEE Robotics and Automation Magazine. He was Program Chair of the 2007 IEEE Conference on Automation Science and Engineering. He is also the recipient of the Intel ATM Achievement Award and the IIE Outstanding Young Industrial Engineer Award. He is listed in Marquis Who's Who in the World.

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