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Introduction to Computational Optimization Models for Production Planning HC LN
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Item specifics
- Condition
- Like New
- Seller Notes
- “Unread with very little wear, a tight binding and clean, unmarked pages”
- Subject Area
- Mathematics, Business & Economics
- Subject
- Operations Research, Production & Operations Management, Econometrics, Optimization
- ISBN
- 9783540298786
- Publication Name
- Introduction to Computational Optimization Models for Production Planning in a Supply Chain
- Publisher
- Springer Berlin / Heidelberg
- Item Length
- 9.3 in
- Publication Year
- 2006
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Features
- Revised
- Item Weight
- 20.3 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xii, 260 Pages
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3540298789
ISBN-13
9783540298786
eBay Product ID (ePID)
50423146
Product Key Features
Number of Pages
Xii, 260 Pages
Language
English
Publication Name
Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Publication Year
2006
Subject
Operations Research, Production & Operations Management, Econometrics, Optimization
Features
Revised
Type
Textbook
Subject Area
Mathematics, Business & Economics
Format
Hardcover
Dimensions
Item Weight
20.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2005-937007
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), 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)
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
658.5
Table Of Content
Optimization Modeling.- Starting with an mrp Model.- Extending to an MRP II Model.- A Better Model.- Extensions to the Model.- Implementation Examples.- Solutions.- Some Stochastic Extensions.- Research Directions and References.
Edition Description
Revised edition
Synopsis
provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors. In this book we strive to provide models that capture many of the - tails faced by ?rms operating in a modern supply chain, but we stop short of proposing models for economic analysis of the entire multi-player chain. In other words, we produce models that are useful for planning within a supply chain rather than models for planning the supply chain. The usefulness of the models is enhanced greatly by the fact that they have been implemented - ing computer modeling languages. Implementations are shown in Chapter 7, which allows solutions to be found using a computer. A reasonable question is: why write the book now? It is a combination of opportunities that have recently become available. The availability of mod- inglanguagesandcomputersthatprovidestheopportunitytomakepractical use of the models that we develop. Meanwhile, software companies are p- viding software for optimized production planning in a supply chain. The opportunity to make use of such software gives rise to a need to understand some of the issues in computational models for optimized planning. This is best done by considering simple models and examples., The book begins with a lucid introduction to elements that underlie optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation are developed fairly sophisticated models for supply chain management. Coverage includes explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages. The new edition is updated and contains new results.
LC Classification Number
HB139-141
Item description from the seller
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