Beschreibung:
This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales.
This book articulates a new theory that shows that hierarchicaldecision making in manufacturing systems can lead to a nearoptimization of system goals.It will appeal to graduate students and researchers in appliedmathematics, operations management, operations research, and systemsand control theory.
and Models of Manufacturing Systems.- Concept of Near-Optimal Control.- Models of Manufacturing Systems.- Optimal Control of Manufacturing Systems: Existence and Characterization.- Optimal Control of Parallel-Machine Systems.- Optimal Control of Dynamic Flowshops.- Optimal Controls of Dynamic Jobshops.- Risk-Sensitive Control.- Near-Optimal Controls.- Near-Optimal Control of Parallel-Machine Systems.- Near-Optimal Control of Dynamic Flowshops.- Near-Optimal Controls of Dynamic Jobshops.- Near-Optimal Risk-Sensitive Control.- Conclusions.- Further Extensions and Open Research Problems.