Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Author :
Publisher : Springer Science & Business Media
Total Pages : 261
Release :
ISBN-10 : 9783540298793
ISBN-13 : 3540298797
Rating : 4/5 (797 Downloads)

Book Synopsis Introduction to Computational Optimization Models for Production Planning in a Supply Chain by : Stefan Voß

Download or read book Introduction to Computational Optimization Models for Production Planning in a Supply Chain written by Stefan Voß and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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