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Artículo: AMZ-B0CZ7FM4CS
Decision Theory and Analysis: Approach to MCDM
Format:
Paperback
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En stock
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0.26 kg
0.26 kg
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Nuevo
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Amazon
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USA
USA
Sobre este producto
- It is hard to imagine any science or engineering discipline, where decision theoretical models are major concern. In Telecommunication systems, engineering design, logistics networks, manufacturing plants, biological and financial systems heavily depend on decision approaches. For instance, an important design problem in structural mechanics is solved by finding the optimal solution of the corresponding equilibrium problem. Moreover, companies can reduce their costs significantly by applying optimization techniques in order to design and operate their supply chains. The Decision Theory research are mainly involves the development of algorithms based on linear, nonlinear, integer, dynamic and stochastic programming techniques. Frequently, optimal algorithms require excessive computational resources and time when applied to major problems encountered in real life. In such cases, it is crucial to develop effective heuristic algorithms by exploiting the problem structure. Hence, research in this Group employs both classical heuristics and metaheuristics, which have become increasingly popular recently. This book addresses decision theory and analysis in the context of an overall effort to achieve quality. It is designed for use as a primary book as a supplementary text in a material/mechanical/Industrial engineering course, and as a resource for academic and practical approach. The main characteristics of this book are: •It assumes that the reader’s goal is to achieve a suitable balance of cost, schedule, and quality. It is not oriented toward critical systems. •It presents modern optimization techniques suitable for near-term application, with sufficient technical background to understand their domain of applicability and to consider variations to suit technical and organizational constraints.
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