SDMSim: A manufacturing service supply–demand matching simulator under cloud environment

Nowadays, with the introduction and application of new information technologies in manufacturing, various advanced manufacturing modes and national strategies have been put forward and paid more and more attention, such as Industry 4.0, Industrial Internet, Cyber-Physical System or Cyber Manufacturi...

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Vydáno v:Robotics and computer-integrated manufacturing Ročník 45; s. 34 - 46
Hlavní autoři: Tao, Fei, Cheng, Jiangfeng, Cheng, Ying, Gu, Shixin, Zheng, Tianyu, Yang, Hao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.06.2017
Elsevier BV
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ISSN:0736-5845, 1879-2537
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Shrnutí:Nowadays, with the introduction and application of new information technologies in manufacturing, various advanced manufacturing modes and national strategies have been put forward and paid more and more attention, such as Industry 4.0, Industrial Internet, Cyber-Physical System or Cyber Manufacturing, Made in China 2025, Internet Plus Manufacturing, Cloud Manufacturing, etc. For these modes and strategies, how to realize the effective and intelligent supply–demand matching (SDM) of various manufacturing resources and capabilities (MR&C) in the form of service is one of the common issues and aims. In order to provide a uniformed research platform for related researchers both in academic and industry, the concept of manufacturing service SDM simulator (SDMSim) is proposed in this paper. A hypernetwork based architecture for the simulator is designed, as well as its seven key functions and subsystems, including manufacturing service management, manufacturing task management, manufacturing service SDM hypernetwork, manufacturing service SDM problem formulation and configuration, matching and scheduling algorithms/strategies selection and design, statistical analysis, and visualization. It illustrates that SDMSim has the potential to serve the users of manufacturing service provider, manufacturing service consumer, manufacturing service operator in the field of SoM, as well as the related researchers. •Shortness of researches on manufacturing service supply-demand matching is studied.•A manufacturing service supply–demand matching simulator is proposed and designed.•The simulator employs a network based method for matching, statistics and forecast.•The simulator is configurable for data, indicators, rules, objectives, algorithms.•Comparison on matching results, algorithms can be made with the simulator.
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ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2016.07.001