Operations Research/Computer Science Interfaces Series

Model-Based Control of Logistics Processes in Volatile Environments

Decision Support for Operations Planning in Supply Consortia

Authors: Schönberger, Jörn

  • Presents a novel new approach to dynamic decision making in logistics/supply chain
  • Illustrates how adaptive decision models can better manage supply chains
  • Proposes new approaches to software development for supply chain management
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eBook $129.00
price for USA (gross)
  • ISBN 978-1-4419-9682-4
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-4419-9681-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4614-2872-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (9 chapters)

  • Process Planning in Supply Consortia

    Schönberger, Jörn

    Pages 1-19

  • Transport Processes and Uncertainty

    Schönberger, Jörn

    Pages 23-34

  • Decision Support: Applying the State-of-the-Art

    Schönberger, Jörn

    Pages 35-59

  • Decision Support in Principal-Agent-Relationships

    Schönberger, Jörn

    Pages 63-81

  • Adaptive Controllers for Mathematical Optimization Models

    Schönberger, Jörn

    Pages 83-108

Buy this book

eBook $129.00
price for USA (gross)
  • ISBN 978-1-4419-9682-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-4419-9681-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4614-2872-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Model-Based Control of Logistics Processes in Volatile Environments
Book Subtitle
Decision Support for Operations Planning in Supply Consortia
Authors
Series Title
Operations Research/Computer Science Interfaces Series
Series Volume
50
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-9682-4
DOI
10.1007/978-1-4419-9682-4
Hardcover ISBN
978-1-4419-9681-7
Softcover ISBN
978-1-4614-2872-5
Series ISSN
1387-666X
Edition Number
1
Number of Pages
XII, 184
Topics