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Titlebook: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Ma; IFIP WG 5.7 Internat Hermann L?dding,

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發(fā)表于 2025-3-21 17:14:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Ma
期刊簡稱IFIP WG 5.7 Internat
影響因子2023Hermann L?dding,Ralph Riedel,Dimitris Kiritsis
視頻videohttp://file.papertrans.cn/150/149481/149481.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Ma; IFIP WG 5.7 Internat Hermann L?dding,
影響因子The two-volume set IFIP AICT 513 and 514 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2017, held in Hamburg, Germany, in September 2017..The 121 revised full papers presented were carefully reviewed and selected from 163 submissions. They are organized in the following topical sections: smart manufacturing system characterization; product and asset life cycle management in smart factories of industry 4.0; cyber-physical (IIoT) technology deployments in smart manufacturing systems; multi-disciplinary collaboration in the development of smart product-service solutions; sustainable human integration in cyber-physical systems: the operator 4.0; intelligent diagnostics and maintenance solutions; operations planning, scheduling and control; supply chain design; production management in food supply chains; factory planning; industrial and other services; operations management in engineer-to-order manufacturing; gamification of complex systems design development; lean and green manufacturing; and eco-efficiency in manufacturing operations..
Pindex Conference proceedings 2017
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Conclusion: the Fundamental Alternativeschnology, the ontology based architecture enables the distributed components in a smart manufacturing system to be configured autonomously and collaborate with each other even when they don’t know much about their counterpart.
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Adrian Brasoveanu,Jakub Dotla?ile disaster aspects was proposed to minimize total damages caused by isolation. A small-scale experiment was conducted and the result showed that our model can be used to effectively reduce further damages compared to previous research.
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Computational Collective Intelligenceing are scarce and often anecdotal. Therefore, the proposed work aims to fill this gap by developing a comprehensive model that links these two perspectives and serves practitioners to achieve lean’s core goals in smart factories.
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Conference proceedings 2017nagement Systems, APMS 2017, held in Hamburg, Germany, in September 2017..The 121 revised full papers presented were carefully reviewed and selected from 163 submissions. They are organized in the following topical sections: smart manufacturing system characterization; product and asset life cycle m
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