Low carbon supplier selection under multi-source and multi-attribute procurement

被引:23
作者
Rao, Congjun [1 ]
Xiao, Xinping [1 ]
Xie, Ming [2 ]
Goh, Mark [3 ,4 ]
Zheng, Junjun [5 ]
机构
[1] Wuhan Univ Technol, Sch Sci, Wuhan, Peoples R China
[2] Handan Coll, Dept Personnel, Handan, Peoples R China
[3] Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
[4] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
[5] 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
Low carbon economy; low carbon supplier selection; multi-attribute decision making; linguistic; 2-tuple; extended VIKOR method; GROUP DECISION-MAKING; DATA ENVELOPMENT ANALYSIS; AGGREGATION OPERATORS; GREEN SUPPLIERS; LOCATION SELECTION; MODEL; VIKOR; NETWORK; EFFICIENCY; CRITERIA;
D O I
10.3233/JIFS-151813
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Under the development mode of low carbon economy, selecting the best low carbon supplier is the basis and prerequisite for establishing low carbon supply chain, and is the inevitable choice to achieve sustainable development for enterprises. In this paper, we investigate the problem of low carbon supplier selection in the multi-source and multi-attribute procurement. Concretely, we establish a new evaluation index system of low carbon supplier selection based on cost, low carbon, quality and service capacity. Then we present a multi-attribute decision making method for low carbon supplier selection based on a linguistic 2-tuple VIKOR method. In this proposed decision method, the hybrid attribute values (the real numbers and linguistic fuzzy variables coexist) are transformed into linguistic 2-tuples, and a ranking method based on an extended VIKOR method is then presented to rank all alternative suppliers. We also give an application example to highlight the implementation, availability, and feasibility of the proposed decision making method.
引用
收藏
页码:4009 / 4022
页数:14
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