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

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Springer Science & Business Media, Mar 20, 2006 - Business & Economics - 260 pages
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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Contents

Table of Contents
1
Optimization Modeling
7
Starting with an mrp Model
19
Extending to an MRP II Model
31
A Better Model 45
44
Extensions to the Model
59
Implementation Examples 81
80
Solutions
135
Some Stochastic Extensions 163
162
Research Directions and References
187
Woodruff
201
Bibliography
233
Index
253
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Woodruff, University of California at Davis, USA.

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