托普西斯
数学
运筹学
运营管理
计算机科学
工程类
制造工程
业务
作者
Xiaoxi Wang,Z.G. Liu,Haining Kong,Peng Geng
出处
期刊:Heliyon
[Elsevier]
日期:2023-11-10
卷期号:10 (1): e21700-e21700
被引量:6
标识
DOI:10.1016/j.heliyon.2023.e21700
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.
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