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|a 9783540298793
|9 978-3-540-29879-3
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|a 10.1007/3-540-29879-7
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|a HB139-141
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|a 330.015195
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|a Voß, Stefan.
|e author.
|0 (orcid)0000-0003-1296-4221
|1 https://orcid.org/0000-0003-1296-4221
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Introduction to Computational Optimization Models for Production Planning in a Supply Chain
|h [electronic resource] /
|c by Stefan Voß, David L. Woodruff.
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|a 2nd ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a XII, 260 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a 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.
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|a 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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|a Econometrics.
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|a Operations research.
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|a Production management.
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|a Business information services.
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|a Econometrics.
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|a Operations Research and Decision Theory.
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|a Operations Management.
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|a IT in Business.
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|a Woodruff, David L.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642067556
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|i Printed edition:
|z 9783540817536
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|i Printed edition:
|z 9783540298786
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|u https://doi.uam.elogim.com/10.1007/3-540-29879-7
|z Texto Completo
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|a ZDB-2-SBE
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|a ZDB-2-SXEF
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|a Business and Economics (SpringerNature-11643)
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|a Economics and Finance (R0) (SpringerNature-43720)
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