Introduction to Computational Optimization Models for Production Planning in a Supply Chain
By: Vo�, Stefan [author.1].
Contributor(s): Woodruff, David L [author.2 ] | SpringerLink (Online service)0.
Material type: BookBerlin, Heidelberg : Springer Berlin Heidelberg, 2006. Edition: Second Edition. 1.Description: XII, 260 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540298793.Subject(s): Production management. 0 | Operations research. 0 | Decision making. 0 | Information technology. 0 | Business -- Data processing. 0 | Econometrics.14 | Economics.24 | Econometrics.24 | Operation Research/Decision Theory.24 | Operations Management.24 | IT in Business.1DDC classification: 330.015195 Online resources: Click here to access onlineItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | Available | EBK5673 |
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.
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. 0
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