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

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Abstract

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.

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Acknowledgements

This work is supported in part by National Natural Science Foundation of China (Grant no. 51705049), in part by China Postdoctoral Science Foundation under Grant 2017M622975 and 2018T110947.

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Authors and Affiliations

  1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China

    Xiaorong Gong & Chao Yin

  2. School of Economics and Business Administration, Chongqing University, Chongqing, 400044, China

    Xiaobin Li

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  1. Xiaorong Gong
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  2. Chao Yin
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  3. Xiaobin Li
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Correspondence to Xiaobin Li.

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Gong, X., Yin, C. & Li, X. A grey correlation based supply–demand matching of machine tools with multiple quality factors in cloud manufacturing environment. J Ambient Intell Human Comput 10, 1025–1038 (2019). https://doi.org/10.1007/s12652-018-0945-6

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