Multi-Criteria Decision Making in Green Supply Chain Management: An Example of Automotive Main Industry

被引:0
|
作者
Koca, Gozde [1 ]
Behdioglu, Sema [2 ]
机构
[1] Bilecik Seyh Edebali Univ, IIBF, Isletme Bolumu, Bilecik, Turkey
[2] Dumlupinar Univ, IIBF, Ekonometri Bolumu, Kutahya, Turkey
关键词
Green Supply Chain Management; Multi Criteria Decision Making; Entropy; Intuitionistic Fuzzy TOPSIS; FUZZY TOPSIS; ENTROPY; EVALUATE; FRAMEWORK; SELECTION; DEMATEL;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this study, the Green Supply Chain, which is the environmental dimension of the Sustainable Supply Chain Management was examined within the framework of the Turkish Automotive Main Industry by using Multi Criteria Decision Making methods. In the first phase, the criteria were determined. In the second phase, criteria weighted. The sub-criteria of the green recycling and the green design were determined to be the foreground. In the third phase, the factories of Ford OTOSAN were evaluated by using 8 different methods which include absolute numbers, fuzzy numbers and intuitive fuzzy numbers. In the fourth phase, 10 different scenarios were developed. In this way, the changes in the grading of the factories of Ford OTOSAN were traced with sensitivity analysis. In conclusion, Intuitionistic Fuzzy TOPSIS methods using entropy weight were seen as more effective ones.
引用
收藏
页码:675 / 698
页数:24
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