<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. |
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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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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319558103 |
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EB00240113 |
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