摘要： Steady state behavior of production systems has been studied extensively over the last 60 years. In contrast, transient analysis of production systems has received significantly less attention. Transient characteristics, however, have significant practical and theoretical implications. In modern manufacturing systems, as more and more real-time data are collected on the factory floor, rigorous methods for analyzing production system transients must be available in order to effectively utilize these data for timely decision-making. In the framework of serial production lines with machines having Bernoulli and geometric reliability models, and finite buffers, we develop mathematical models for transient analysis and derive closed-form expressions for evaluating important performance measures. In addition, a computation-efficient algorithm based on recursive aggregation is developed to approximate the transient performance measures with high accuracy. Finally, based on the mathematical model derived, system-theoretic properties of several important system transient characteristics are discussed.

 

 

演讲人简历 ：Dr. Liang Zhang received the B.E. and M.E. degrees from Department of Automation, Tsinghua University, Beijing, China, in 2002 and 2004, respectively. He received the Ph.D. degree in Electrical Engineering-Systems from the University of Michigan in 2009. Dr. Zhang is currently an Assistant Professor in the Department of Industrial and Manufacturing Engineering, University of Wisconsin-Milwaukee. His research interests are in the area of modeling, analysis, control and design of manufacturing and service systems. He has published about 50 papers in peer-reviewed journals and conferences. Dr. Zhang maintains close collaboration with industry and many of his research results have been successfully in production practice.