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＜電子ブック＞
Optimization and Management in Manufacturing Engineering : Resource Collaborative Optimization and Management through the Internet of Things / by Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
(Springer Optimization and Its Applications. ISSN:19316836 ; 126)

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	XVIII, 264 p. 14 illus., 6 illus. in color : online resource
著者標目	*Liu, Xinbao author Pei, Jun author Liu, Lin author Cheng, Hao author Zhou, Mi author Pardalos, Panos M author SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Management science LCSH:Business logistics LCSH:Mathematical models LCSH:Algorithms FREE:Operations Research, Management Science FREE:Supply Chain Management FREE:Mathematical Modeling and Industrial Mathematics FREE:Algorithms
一般注記	1. Information Sharing and Risk Management -- 2. Optimal Allocation of Decision-Making Authority in IoT-based Manufacturing Enterprises -- 3. Dynamic Coordinated Supply Chain Scheduling in an IoT Environment -- 4. Hybrid Manufacturing Distributed Inventory Management with Sharing Logistics -- 5. Cutting stock problem with the IoT -- 6. Total Quality Management of the Product Life Cycle in an IoT Environment -- 7. Life Cycle Assessment in an IoT Environment. –References Problems facing manufacturing clusters that intersect information technology, process management, and optimization within the Internet of Things (IoT) are examined in this book. Recent advances in information technology have transformed the use of resources and data exchange, often leading to management and optimization problems attributable to technology limitations and strong market competition. This book discusses several problems and concepts which makes significant connections in the areas of information sharing, organization management, resource operations, and performance assessment. Geared toward practitioners and researchers, this treatment deepens the understanding between resource collaborative management and advanced information technology. Those in manufacturing will utilize the numerous mathematical models and methods offered to solve practical problems related to cutting stock, supply chain scheduling, and inventory management. Academics and students with a basic knowledge of manufacturing, combinatorics, and linear programming will find that this discussion widens the research area of resource collaborative management and unites the fields of information technology, manufacturing management, and optimization. HTTP:URL=https://doi.org/10.1007/978-3-319-64568-1

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