Decision Mechanism for Supplier Selection Under Sustainability

被引:43
|
作者
Rao, Congjun [1 ]
Goh, Mark [2 ]
Zheng, Junjun [3 ]
机构
[1] Wuhan Univ Technol, Sch Sci, Wuhan 430070, Peoples R China
[2] RMIT Univ, Sch Business IT & Logist, Melbourne, Vic 3001, Australia
[3] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金;
关键词
Sustainable SCM; supplier selection; sustainability; linguistic 2-tuple grey correlation degree; 2-TUPLE LINGUISTIC INFORMATION; OUTSOURCING PROVIDER SELECTION; GREY-DEMATEL APPROACH; CHAIN MANAGEMENT; AGGREGATION OPERATORS; DIVISIBLE GOODS; FUZZY NUMBERS; MAKING METHOD; PERFORMANCE EVALUATION; ECONOMIC-PERFORMANCE;
D O I
10.1142/S0219622016500450
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Against the backdrop of responsible economic development, sustainable supply chain management (SSCM) is key to achieving the sustainable development for enterprise and industry. In this regard, sustainable supplier selection is crucial in SSCM. By integrating the three dimensions of sustainability, economic, environmental and social, this paper presents a new evaluation system for supplier selection from a sustainability perspective. Specifically, we design a decision mechanism for sustainable supplier selection based on linguistic 2-tuple grey correlation degree. In this proposed mechanism, the hybrid attribute values whereby real numbers, interval numbers and linguistic fuzzy variables coexist are transformed into linguistic 2-tuples. A ranking method based on linguistic 2-tuple grey correlation degree is then presented to rank the suppliers. An application example is presented to highlight the implementation, availability and feasibility of the proposed decision making mechanism.
引用
收藏
页码:87 / 115
页数:29
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