An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

被引:67
|
作者
Yucesan, Melih [1 ]
Mete, Suleyman [2 ]
Serin, Faruk [3 ]
Celik, Erkan [2 ]
Gul, Muhammet [2 ]
机构
[1] Munzur Univ, Fac Engn, Dept Mech Engn, TR-62000 Tunceli, Turkey
[2] Munzur Univ, Fac Engn, Dept Ind Engn, TR-62000 Tunceli, Turkey
[3] Munzur Univ, Fac Engn, Dept Comp Engn, TR-62000 Tunceli, Turkey
关键词
MCDM; BWM; interval type-2 fuzzy sets; TOPSIS; green supplier selection; plastic injection molding; ANALYTIC NETWORK PROCESS; HYBRID MCDM APPROACH; DECISION-MAKING; CHAIN MANAGEMENT; PERFORMANCE EVALUATION; CUSTOMER SATISFACTION; VENDOR SELECTION; NEURAL-NETWORK; LOGISTICS; FRAMEWORK;
D O I
10.3390/math7020182
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today's organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.
引用
收藏
页数:19
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