Research on the evaluation of green suppliers of high energy-consuming enterprises--based on rough number-grey correlation TOPSIS method

被引:8
作者
Wang, Xiaoxi [1 ]
Liu, Zhangfan [2 ]
Kong, Haining [2 ,3 ]
Peng, Geng [1 ]
机构
[1] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
[2] Capital Univ Econ & Business, Coll Business Adm, Beijing 100071, Peoples R China
[3] 121 Zhangjia Rd,Huaxiang, Beijing, Peoples R China
关键词
High energy-consuming enterprises; Green suppliers; Rough number; Grey correlation method; TOPSIS; DECISION-MAKING; FUZZY ENVIRONMENT; SELECTION; PERFORMANCE; CRITERIA; MCDM; FRAMEWORK; CHAIN; MODEL;
D O I
10.1016/j.heliyon.2023.e21700
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the Goal-Establishment of "carbon compliance" and "carbon neutrality", enterprises should upgrade "green development" to a strategic position and implement it through all aspects of business operations. Green supplier selection is the initial phase of supply chain management, therefore a green supplier evaluation system is needed to achieve green development. Based on a literature analysis, We selected 45 metrics as candidates for evaluating suppliers. Then through expert interviews, some indicators were revised and supplemented, and finally a green supplier evaluation index system for high energy-consuming enterprises was constructed. A unique aspect of this paper is the introduction of rough number theory into the supplier evaluation process to improve the indicator assignment and the grey correlation TOPSIS method, which optimizes the processing of uncertain semantic information in the evaluation process. The rough number-grey correlation TOPSIS supplier evaluation model developed in this paper has been verified to be applicable and stable in case studies and successfully implemented.
引用
收藏
页数:14
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