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Topology analysis of manufacturing service supply-demand hyper-network considering QoS properties in the cloud manufacturing system

机译:考虑云制造系统中的QoS属性的制造服务供需超网络拓扑分析

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摘要

Cloud Manufacturing (CMfg), a new manufacturing paradigm, enables an opportunity for manufacturing enterprises to respond to a wide variety of demands. The CMfg concept integrates the distributed resources and capacities in a shared economy, transfers them to the virtual manufacturing services with various quality of service (QoS) properties. These services are invoked to collaborate in producing customized demands with specific functional and non-functional properties. The operational perspective of the service-demand matching problem is considered more in the literature; however, it is a challenging problem in the CMfg ecosystem. This paper evaluates the service-demand matching problem from a structural perspective to facilitate resilience and configurable system working well in the operational interactions. Therefore, a CMfg hyper-network-based model is proposed which is enriched with QoS properties. It employs the available capacities in all small and medium enterprises (SMEs) and large companies. The service-demand matching problem is a complex issue; so, it is impossible to analyze it with the current approaches. Here, the CMfg structure is examined through topological characteristics. It helps decision-makers to provide a robust and resilient service-demand matching model. It also proposes some investment opportunities for the SME. The proposed model and its capabilities are discussed through a real case study about the COVID-19 ventilator manufacturing systems in CMfg ecosystem.
机译:云制造(CMFG)是一种新的制造范式,使得制造企业能够满足各种需求的机会。 CMFG概念集成了分布式经济中的分布式资源和容量,将它们与各种服务质量(QoS)属性传输到虚拟制造服务。调用这些服务以合作生产具有特定功能和非功能性的定制需求。文献中,服务需求匹配问题的操作视角是更多的;但是,CMFG生态系统是一个具有挑战性的问题。本文从结构角度评估了服务需求匹配问题,以便于在操作交互中运行良好的弹性和可配置系统。因此,提出了一种基于CMFG超网络的模型,其富有QoS属性。它采用所有中小企业(中小企业)和大公司的可用能力。服务需求匹配问题是一个复杂的问题;因此,不可能通过目前的方法分析它。这里,通过拓扑特征检查CMFG结构。它有助于决策者提供强大而有弹性的服务需求匹配模型。它还为中小企业提出了一些投资机会。通过关于CMFG生态系统的Covid-19呼吸机制造系统的实际研究讨论了所提出的模型及其能力。

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