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Stochastic Modeling and Analysis of Manufacturing Systems

  • Textbook
  • © 1994

Overview

Editors:
  1. David D. Yao

    1. Department of Industrial Engineering and Operations Research, Columbia University, New York, USA

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Jackson Network Models of Manufacturing Systems

    • John A. Buzacott, J. George Shanthikumar, David D. Yao
    Pages 1-45

  3. Hierarchical Modeling of Stochastic Networks, Part I: Fluid Models

    • Hong Chen, Avi Mandelbaum
    Pages 47-105

  4. Hierarchical Modeling of Stochastic Networks, Part II: Strong Approximations

    • Hong Chen, Avi Mandelbaum
    Pages 107-131

  5. A GSMP Framework for the Analysis of Production Lines

    • Paul Glasserman, David D. Yao
    Pages 133-188

  6. Stochastic Convexity and Stochastic Majorization

    • Cheng-Shang Chang, J. George Shanthikumar, David D. Yao
    Pages 189-231

  7. Perturbation Analysis of Production Networks

    • Paul Glasserman
    Pages 233-280

  8. Scheduling Networks of Queues: Heavy Traffic Analysis of a Bi-Criteria Problem

    • Lawrence M. Wein
    Pages 281-323

  9. Scheduling Manufacturing Systems of Re-Entrant Lines

    • P. R. Kumar
    Pages 325-360
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Keywords

About this book

Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research.
The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.

Reviews

"This is a very well-written book, providing a good balance between modeling and mathematical rigor....I enjoyed reading this book and will undoubtedly use it myself; I would also highly recommend it to my graduate students." - Technometrics

Editors and Affiliations

  • Department of Industrial Engineering and Operations Research, Columbia University, New York, USA

    David D. Yao

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