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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.
Content Level »Research
Keywords »Manufacturing System - Sethi - Zhang - average - control - cost - management - manufacturing - modeling - operations research - optimization - stochastic - systems
Preface * Notation * Part I: Introduction and Models of Manufacturing Systems * Concepts of Near-Optimal Control * Models of Manufacturing Systems * Part II: Optimal Control of Manufacturing Systems: Existence and Characterization * Optimal Control of Parallel Machine Systems * Optimal Control of Dynamic Flowshops * Optimal Controls of Jobshops * Risk-Sensitive Control * Part III: Near-Optimal Controls * Near-Optimal Control of Parallel Machine Systems * Near-Optimal Control of Dynamic Flowshops * Near-Optimal Controls of Jobshops * Near-Optimal Risk-Sensitive Control * Part IV: Conclusions * Further Extensions and Open Research Problems * Part V: Appendices * References * Author Index * Subject Index *