Private-label sustainable supplier selection using a fuzzy entropy-VIKOR-based approach

被引:19
|
作者
Zhang, Jun [1 ]
Li, Linze [1 ]
Zhang, Jing [1 ]
Chen, Liping [2 ]
Chen, Guojiao [1 ]
机构
[1] Capital Univ Econ & Business, Management Engn Sch, Beijing, Peoples R China
[2] Capital Univ Econ & Business, Coll Business Adm, Beijing, Peoples R China
关键词
Supplier selection; Entropy; VIKOR; Sustainability; Private labels; MULTI CRITERIA APPROACH; DECISION-MAKING; PERFORMANCE; MANAGEMENT; TOPSIS; CHAIN; MODEL;
D O I
10.1007/s40747-021-00317-w
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent decades, private labels have been the focus of great development in retail due to their price advantage and consumer-oriented production. With growing customer awareness of safety and health, private-label sustainable supplier selection has become a strategic issue for many retailers. Although there are many studies on supplier selection issues and evaluation methods, studies on the sustainability and consumption sectors are rather limited. Therefore, a novel three-phase MCDM model for private-label supplier selection compliance with sustainability criteria is proposed. First, the Delphi method is used to construct a criteria system based on a detailed literature review. Then, an integrated weight algorithm is suggested, in which objective weights are based on attributes' entropy measurements, and subjective weights are derived from decision-makers' preferences. Eventually, during evaluation, a fuzzy set extended in VIKOR is exploited by considering the vagueness of decision makers' expressions. The results from a case study then show that green packaging and labelling, relationship with manufacturing brand, order flexibility, and product traceability are the most important criteria in retail private-label supplier selection. The flexibility and reliability of the proposed model are also demonstrated in a practical case of supplier evaluation.
引用
收藏
页码:2361 / 2378
页数:18
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