Authors:
Provides an easy-to-follow introduction to the use of optimization techniques in production planning
Introduces sophisticated models for supply chain management
Includes a chapter presenting implementation of examples in popular modeling languages
This new edition is updated, and provides extensions
Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
The book begins with an easy-to-read introduction to the concepts associated with the creation of optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II.
From this foundation, fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.
Reviews
From the reviews of the second edition:
"This is the second edition of the popular book. … The book can be used for developing courses for business, management or industrial engineering students. Some developed models are useful not only for teaching purposes but can be immediately applied by practitioners. … This will be of special value to researchers and PhD students." (Vitaly A. Strusevich, Zentralblatt MATH, Vol. 1140, 2008)
Authors and Affiliations
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Institut für Wirtschaftsinformatik, Universität Hamburg, Hamburg, Germany
Stefan Voß
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UC Davis, Graduate School of Management, Davis, USA
David L. Woodruff
Bibliographic Information
Book Title: Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Authors: Stefan Voß, David L. Woodruff
DOI: https://doi.org/10.1007/978-3-540-24764-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
eBook ISBN: 978-3-540-24764-7Published: 05 June 2013
Edition Number: 1
Number of Pages: X, 233
Number of Illustrations: 1 b/w illustrations
Topics: IT in Business, Operations Management