The book begins with a lucid introduction to elements that underlie optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation are developed fairly sophisticated models for supply chain management. Coverage includes explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages. The new edition is updated and contains new results.

Klappentext

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.

Inhalt
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.