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A grey correlation based supply-demand matching of machine tools with multiple quality factors in cloud manufacturing environment

机译:基于灰色关联的云制造环境下具有多种品质因数的机床供需匹配

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摘要

Machine tool is one of the most important manufacturing resources for manufacturing enterprises. Taking into account the machine tool's common characteristics of decentralization and heterogeneity in cloud manufacturing (CMfg) environment, it is difficult to precisely find an appropriate machine tool from massive manufacturing service candidates to a customized manufacturing demand in CMfg. This paper proposes a multi-quality model for characterizing a manufacturing demand and a capability model for describing a manufacturing cloud service supported by machine tools, and constructs a mapping mechanism between the two proposed models. Based on the grey correlation theory, a machine tool supply-demand matching method is put forward. Finally, a case study is conducted to validate the feasibility of the proposed method.
机译:机床是制造企业最重要的制造资源之一。考虑到机床在云制造(CMfg)环境中的分散性和异构性的共同特征,因此很难准确地找到合适的机床,从大量的制造服务候选者到CMfg中的定制制造需求。本文提出了一种用于表征制造需求的多质量模型和一种描述了机床支持的制造云服务的能力模型,并在这两种模型之间构建了映射机制。基于灰色关联理论,提出了一种机床供需匹配的方法。最后,通过案例研究验证了该方法的可行性。

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