Average-cost control of stochastic manufacturing systems有可能的制造业系统的平均-成本控制

书籍目录

PrefaceNotationPart I: Introduction and Models of Manufacturing Systems　1　Concept of Near-Optimal Control　　1.1  Introduction　　1.2  A Brief Review of the Related Literature　　1.3  Plan of the Book　2　Models of Manufacturing Systems　　2.1  Introduction　　2.2  A Parallel-Machine, Single Product Model　　2.3  A Parallel-Machine, Multiproduct Model　　2.4  A Single Product Dynamic Flowshop　　2.5  A Dynamic JobshopPart II: Optimal Control of Manufacturing Systems: Existence　and Characterization　3  Optimal Control of Parallel-Machine Systems    3.1  Introduction    3.2  Problem Formulation    3.3  Estimates for Discounted Cost Value Functions　　3.4  Verification Theorem　　3.5  Existence and Characterization of Optimal Policy　　3.6  Turnpike Set Analysis　　3.7  Multiproduct Systems　　3.8  Notes　4  Optimal Control of Dynamic Flowshops    4.1  Introduction    4.2  Problem Formulation    4.3  Estimates for Discounted Cost Value Functions    4.4  Verification Theorem and HJBDD Equations    4.5  Two-Machine Flowshop with Finite Internal Buffer    4.6  Notes　5　Optimal Controls of Dynamic Jobshops　　5.1  Introduction　　5.2  A Graph-Theoretic Framework and Problem Formulation　　5.3  Estimates for Discounted Cost Value Functions　　5.4  Verification Theorem　　5.5  Notes　6　Risk-Sensitive Control　　6.1  Introduction　　6.2  Problem Formulation　　6.3  HJB Equations　　6.4  Verification Theorein　　6.5  NotesPart III: Near-Optimal Controls　7  Near-Optimal Control of Parallel-Machine Systems    7.1  Introduction    7.2  Problem Forinulation    7.3  The Limiting Control Problem    7.4  Convergence of the Minimum Average Expected Cost    7.5  Asymptotic Optimal Controls    7.6  Parallel-Machine Systems without Attrition    7.7  Notes　8  Near-Optimal Control of Dynamic Flowshops    8.1  Introduction    8.2  Problem Formulation    8.3  The Limiting Control Problem    8.4  Convergence of the Minimum Average Expected Cost    8.5  Construction of a Near-Optimal Control    8.6  Notes　……Part　Ⅳ：ConclusionsPart　Ⅴ：AppendicesReferencesAuthor IndexSubject IndexCopyright Permissions

作者简介

This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.

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