Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Authors: Voß, Stefan, Woodruff, David L.
Free Preview- 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
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- About this book
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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
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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)
- Table of contents (10 chapters)
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Introduction
Pages 1-6
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Optimization Modeling
Pages 7-18
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Starting with an mrp Model
Pages 19-29
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Extending to an MRP II Model
Pages 31-43
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A Better Model
Pages 45-57
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Introduction to Computational Optimization Models for Production Planning in a Supply Chain
- Authors
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- Stefan Voß
- David L. Woodruff
- Copyright
- 2003
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-24764-7
- DOI
- 10.1007/978-3-540-24764-7
- Edition Number
- 1
- Number of Pages
- X, 233
- Number of Illustrations
- 1 b/w illustrations
- Topics
