Operations Research is concerned with making good decisions among many alternatives. A problem in the real world is modelled, usually on mathematical terms, then mathematical techniques, with data analysis and computational algorithms, are applied, in order to find ways to do the job better. Notable instances in business management are planning industrial production, scheduling airlines and other transportation, and managing inventories in a supply chain. A successful application does not just run a computer program, but requires a model that suitably describes the situation, and relevant data. This text presents concisely the most applicable O.R. models and the methods used to work with them. The book will be useful to practitioners of O.R., in areas of logistics, supply chain, decision sciences, or manufacturing management. It will be useful as well for students of mathematics, who wish to apply their skills to management, or for students of engineering, who wish to learn some effective methods of planning. Since Operations Research may not be the major part of their course, this brief account may serve them well. Some mathematical background (some matrices and calculus) is assumed. Applications discussed include choice among scenarios for future action, optimizing networks, optimal management of a supply chain, and other topics in business management.
Operations Research Methods: Related Production, Distribution, and Inventory Management Applications
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Title
Operations Research Methods: Related Production, Distribution, and Inventory Management Applications
Author
Edition
1st ed.
Publisher
ISBN
8131405516
Length
248p.
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