Introduction to Computational Optimization Models for Production Planning in a Supply Chain (Hardcover, 2nd ed. 2006)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	2006
First published:	2006
Authors:	Stefan Voss • David L. Woodruff
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	260
Edition:	2nd ed. 2006
ISBN-13:	978-3-540-29878-6
Categories:	Books > Business & Economics > Economics > Econometrics > General Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	3-540-29878-9
Barcode:	9783540298786

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