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Optimal Control and Optimization of Stochastic Supply Chain Systems

  • Book
  • © 2013

Overview

Authors:
  1. Dong-Ping Song

    1. , School of Management, University of Plymouth, Plymouth, United Kingdom

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  • Provides techniques and tools to facilitate industrial implementation of threshold-type control policies
  • Addresses the optimisation of sub-optimal control policies
  • Considers the optimal control problems of supply chain systems for the benefit of the professional reader

Part of the book series: Advances in Industrial Control (AIC)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Stochastic Supply Chain Systems

    • Dong-Ping Song
    Pages 1-9

  3. Optimal Control of Basic Integrated Supply Chains

    • Dong-Ping Song
    Pages 11-35

  4. Optimal Control of Supply Chains in More General Situations

    • Dong-Ping Song
    Pages 37-59

  5. Optimal Control of Supply Chain Systems with Backordering Decisions

    • Dong-Ping Song
    Pages 61-77

  6. Optimal Control of Supply Chain Systems with Preventive Maintenance Decisions

    • Dong-Ping Song
    Pages 79-94

  7. Optimal Control of Supply Chain Systems with Assembly Operation

    • Dong-Ping Song
    Pages 95-110

  8. Optimal Control of Supply Chain Systems with Multiple Products

    • Dong-Ping Song
    Pages 111-129

  9. Threshold-Type Control Policies and System Stability for Serial Supply Chain Systems

    • Dong-Ping Song
    Pages 131-148

  10. Threshold-Type Control of Supply Chain Systems with Backordering Decisions

    • Dong-Ping Song
    Pages 149-161

  11. Threshold-Type Control of Supply Chain Systems with Preventive Maintenance Decisions

    • Dong-Ping Song
    Pages 163-184

  12. Threshold-Type Control of Supply Chain Systems with Assembly Operations

    • Dong-Ping Song
    Pages 185-200

  13. Threshold-Type Control of Supply Chain Systems with Multiple Products

    • Dong-Ping Song
    Pages 201-223

  14. Optimization of Threshold Control Parameters via Numerical Methods

    • Dong-Ping Song
    Pages 225-239

  15. Optimization of Threshold Control Parameters via Simulation-Based Methods

    • Dong-Ping Song
    Pages 241-259

  16. Conclusions

    • Dong-Ping Song
    Pages 261-265

  17. Back Matter

    Pages 267-271
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Keywords

About this book

Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.

Reviews

From the reviews:

 “This book ‘provides techniques and tools to facilitate industrial implementation of threshold-type control policies’ with applications to stochastic supply chains. … The book with flow-chart for chapter relationships, and notes and references at the end of chapter, appeals to scientists, engineers, and graduate students in the fields of industrial, manufacturing, and control engineering. It is a welcome addition to the field of stochastic aspects in manufacturing.” (D. Subbaram Naidu, Amazon.com, December, 2013)

Authors and Affiliations

  • , School of Management, University of Plymouth, Plymouth, United Kingdom

    Dong-Ping Song

About the author

Dr. Dong-Ping Song is a Professor in International Logistics in the School of Management at the University of Plymouth (http://www.plymouth.ac.uk/staff/dsong). His research interests include container shipping and logistics; supply chain management; production planning and inventory control; modelling, simulation and optimization for stochastic systems; metaheuristics.

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