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＜電子ブック＞
Applied Simulation and Optimization 2 : New Applications in Logistics, Industrial and Aeronautical Practice / edited by Miguel Mujica Mota, Idalia Flores De La Mota

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2017
本文言語	英語
大きさ	XIV, 282 p. 127 illus., 107 illus. in color : online resource
著者標目	Mujica Mota, Miguel editor Flores De La Mota, Idalia editor SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 LCSH:Computer simulation LCSH:Industrial engineering LCSH:Production engineering FREE:Computational Science and Engineering FREE:Mathematical and Computational Engineering Applications FREE:Computer Modelling FREE:Industrial and Production Engineering
一般注記	Preface -- Introduction -- Supply Chain Problems -- Logistics Problems -- Manufacturing Problems -- Aeronautical Problems -- Big Data Applications -- Conclusions -- Bibliography -- References Building on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into theoptimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry. HTTP:URL=https://doi.org/10.1007/978-3-319-55810-3

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