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Average—Cost Control of Stochastic Manufacturing Systems

  • Suresh P. Sethi
  • Hanqin Zhang
  • Qing Zhang

Part of the Stochastic Modelling and Applied Probability book series (SMAP, volume 54)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction and Models of Manufacturing Systems

  3. Optimal Control of Manufacturing Systems: Existence and Characterization

  4. Near—Optimal Controls

  5. Conclusions

  6. Back Matter
    Pages 247-324

About this book

Introduction

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. 

Keywords

Manufacturing System Sethi Zhang average control cost management manufacturing modeling operations research optimization stochastic systems

Authors and affiliations

  • Suresh P. Sethi
    • 1
  • Hanqin Zhang
    • 2
  • Qing Zhang
    • 3
  1. 1.School of ManagementUniversity of TexasDallas RichardsonUSA
  2. 2.Academy of Mathematics and System SciencesChinese Academy of SciencesBeijingChina
  3. 3.Department of MathematicsUniversity of GeorgiaAthensUSA

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-27615-7
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-21947-9
  • Online ISBN 978-0-387-27615-1
  • Series Print ISSN 0172-4568
  • Buy this book on publisher's site
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