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Titlebook: Optimization and Management in Manufacturing Engineering; Resource Collaborati Xinbao Liu,Jun Pei,Panos M. Pardalos Book 2017 Springer Inte

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發(fā)表于 2025-3-21 16:15:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization and Management in Manufacturing Engineering
副標(biāo)題Resource Collaborati
編輯Xinbao Liu,Jun Pei,Panos M. Pardalos
視頻videohttp://file.papertrans.cn/704/703222/703222.mp4
概述Broadens understanding of manufacturing clusters in the environment of Internet of Things.Equips readers to handle complex models, algorithms, and methods used to process a high volume of data.Offers
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Optimization and Management in Manufacturing Engineering; Resource Collaborati Xinbao Liu,Jun Pei,Panos M. Pardalos Book 2017 Springer Inte
描述.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 attributatble 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 technolo
出版日期Book 2017
關(guān)鍵詞collaborative problems for manufacturers; Internet of Things; manufacture enterprise; inventory managem
版次1
doihttps://doi.org/10.1007/978-3-319-64568-1
isbn_softcover978-3-319-87822-5
isbn_ebook978-3-319-64568-1Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:19:30 | 只看該作者
978-3-319-87822-5Springer International Publishing AG, part of Springer Nature 2017
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發(fā)表于 2025-3-22 02:02:56 | 只看該作者
Optimization and Management in Manufacturing Engineering978-3-319-64568-1Series ISSN 1931-6828 Series E-ISSN 1931-6836
地板
發(fā)表于 2025-3-22 08:33:54 | 只看該作者
Life Cycle Assessment in an IoT Environment,erial acquisition to the production and use phases and waste management [263]. Hellweg found that LCA is an important decision-support tool that, among other functions, allows companies to benchmark and optimize the environmental performance of products or for authorities to design policies for sustainable consumption and production [287].
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Dynamic Coordinated Supply Chain Scheduling in an IoT Environment,nformation about the items. The data collected from these devices can be used to optimize products, services, and operations. One of the earliest and best-known applications of such technology appears in the area of energy optimization: sensors deployed across the electricity grid can help utilities
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