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Model-Based Control of Logistics Processes in Volatile Environments

Decision Support for Operations Planning in Supply Consortia

  • Jörn Schönberger

Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 50)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Jörn Schönberger
    Pages 1-19
  3. Model-Based Transport Process Planning:Approaching the Limits

    1. Front Matter
      Pages 21-21
    2. Jörn Schönberger
      Pages 23-34
    3. Jörn Schönberger
      Pages 35-59
  4. Extending the Application Boundaries of Model-Based Planning

    1. Front Matter
      Pages 61-61
    2. Jörn Schönberger
      Pages 63-81
  5. Adaptive Model Controllers in Action

    1. Front Matter
      Pages 109-109
    2. Jörn Schönberger
      Pages 111-122
    3. Jörn Schönberger
      Pages 123-132
    4. Jörn Schönberger
      Pages 133-155
    5. Jörn Schönberger
      Pages 157-161
  6. Back Matter
    Pages 163-181

About this book

Introduction

This monograph presents results originating from a research project investigating autonomous adaptation of vehicle schedules and systematically develops and evaluates innovative ideas for the management of transportation processes in volatile scenarios. Showing the progress made in the development of the methodological toolbox for decision support in dynamic process management is the major motivation behind this book.  The result is a new integrated approach to dynamic decision making.

Existing process planning approaches for volatile environments and their application boundaries are investigated in Part I. Part II introduces the concept of feedback-controlled adaptive decision models and proposes the required extensions of the online decision making framework and of multi-agent systems. A comprehensive evaluation of the proposed decision model adaptation framework based on computational simulation experiments is reported in Part III and demonstrates the predominance of the new approach.

Distinguishing features of this book are:

-It provides the first contribution to the operational management of processes in supply networks that explicitly addresses the two challenges of dynamics and distributed decision making simultaneously.

-It systematically approaches the limits of model-based process planning but also proposes methods to extend the application boundaries.

-Software prototypes are developed and a comprehensive evaluation within numerical simulation experiments is executed.

-The observed results are discussed with an explicit focus on specific performance indicators (flexibility, stability and robustness).

-The strict interdisciplinary approach merging the requirements and needs of management sciences, operations research and computer sciences is pursued throughout the book.

Keywords

Adaptive Decision Models Decision Support Logistics Processes Model-Based Control Operations Research Supply Chain Supply Consortia

Authors and affiliations

  • Jörn Schönberger
    • 1
  1. 1., Chair of LogisticsUniversity of BremenBremenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-9682-4
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4419-9681-7
  • Online ISBN 978-1-4419-9682-4
  • Series Print ISSN 1387-666X
  • Buy this book on publisher's site
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