Monday July 25/11:15/Grande Ballroom

Invited Presentation 2

Chair: Bozenna Pasik-Duncan, University of Kansas

Control of Manufacturing Systems

For economic reasons, it is important to schedule manufacturing plants to reduce the mean manufacturing lead time. This raises two sets of issues. First, how does one determine the mean lead time for a given scheduling policy? Second, what are good policies for scheduling particular manufacturing systems?

With these issues in mind, the speaker will discuss the problems of stability and performance analysis of queueing networks and scheduling policies. He will address the problem of scheduling semiconductor manufacturing plants, and discuss a new class of scheduling policies based on smoothing all the flows in a system.

P. R. Kumar, Department of Electrical and Computer Engineering, and Coordinated Science Laboratory, University of Illinois, Urbana-Champaign

P. R. Kumar is a Professor of Electrical and Computer Engineering and a Research Professor in the Coordinated Science Laboratory of the University of Illinois, Urbana-Champaign.

He is an Associate Editor-at-Large for IEEE Transactions on Automatic Control, and serves on the editorial boards of the Journal of Discrete Event Dynamic Systems; Mathematics of Control, Signals and Systems; Systems and Control Letters; and Journal of Adaptive Control and Signal Processing. His current research interests are in manufacturing systems, learning theory, simulated annealing, and adaptive systems.