Introduction to computational optimization models for production planning in a supply chain

書誌事項

Introduction to computational optimization models for production planning in a supply chain

Stefan Voß, David L. Woodruff

Springer, c2006

2nd ed

  • : pbk.

大学図書館所蔵 件 / 7

この図書・雑誌をさがす

注記

Includes bibliographical references (p. [233]-252) and index

"Softcover reprint of the hardcover 2nd edtion 2006" -- T.p. verso

内容説明・目次

内容説明

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.

目次

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.

「Nielsen BookData」 より

詳細情報

ページトップへ