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Capacity Oriented Analysis and Design of Production Systems

  • Book
  • © 1989

Overview

Authors:
  1. M. B. M. Koster

    1. Consultants and Engineers Groenewout B. V., Breda, The Netherlands

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Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 323)

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Table of contents (8 chapters)

  1. Front Matter

    Pages N2-XII
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  2. Aggregate Control of Production Systems

    • M. B. M. de Koster
    Pages 1-17

  3. Capacity Analysis of Two-Stage Lines

    • M. B. M. de Koster
    Pages 18-92

  4. More Complex Systems

    • M. B. M. de Koster
    Pages 93-124

  5. Analysis of Locally Controlled Systems

    • M. B. M. de Koster
    Pages 125-153

  6. Analysis of Integrally Controlled Production Systems

    • M. B. M. de Koster
    Pages 154-168

  7. Capacity Modeling of Multiproduct Lines

    • M. B. M. de Koster
    Pages 169-184

  8. Case Studies

    • M. B. M. de Koster
    Pages 185-215

  9. Epilogue

    • M. B. M. de Koster
    Pages 216-217

  10. Back Matter

    Pages 218-249
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Keywords

About this book

In production systems there are often capacity oriented performance objectives, like a desired total throughput, a desired average throughput time and average work­ in-process. Such performance objectives are expressed in "units of products" rather than in specific product types. This book presents a way of modeling and analyzing production systems so, that such capacity oriented performance criteria can be measured in a simple way. The model consists of three basic elements. 1. The product types in the system are aggregated. 2. The product flow is modeled as being continuous. 3. The machines in the model have a finite number of states. Each state has a phase-type sojourn distribution and an associated production speed. Transitions between the states are determined by an irreducible Markov transition matrix. In the book both the mathematical properties and the practical applicabilities of the model are investigated. The model is extensively analyzed for various layouts, like flow lines, assembly­ disassembly systems and networks where parallel machines share common buffers. Furthermore various ways of controlling the product flow in the model are investigated, such as Base Stock Control, Workload Control, control by finite buffers and control by the Reorder Point System. An approximation technique is developed for a quick estimation of performance measures like throughput and average work-in-process, for networks with layouts and control techniques like those above-mentioned.

Authors and Affiliations

  • Consultants and Engineers Groenewout B. V., Breda, The Netherlands

    M. B. M. Koster

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