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

被引：25

作者：

Gong, Xiaorong ^{[1
]}

Yin, Chao ^{[1
]}

Li, Xiaobin ^{[2
]}

机构：

[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China

[2] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400044, Peoples R China

来源：

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING | 2019年 / 10卷 / 03期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Cloud manufacturing; Machine tool; Grey correlation; Supply-demand matching; Multi-quality constraint; SERVICE; INTERNET; THINGS;

D O I：

10.1007/s12652-018-0945-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：1025 / 1038

页数：14

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