Multi-stage green supplier selection for complex product system considering synergetic effect

被引:0
|
作者
Guo J. [1 ,2 ]
Zhu W. [1 ,2 ]
Du B. [1 ,2 ]
Li Y. [1 ,2 ]
Wang L. [1 ,2 ]
Guo S. [1 ,2 ]
机构
[1] School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan
[2] Hubei Provincial Digital Manufacturing Key Laboratory, Wuhan University of Technology, Wuhan
基金
中国国家自然科学基金;
关键词
Complex product system; Green supplier selection; Intuitionistic fuzzy set; Multi-stage; Synergy effect;
D O I
10.13196/j.cims.2020.09.026
中图分类号
学科分类号
摘要
Green supplier selection plays an important role in the long lifecycle of Complex Product System (CoPS). Considering the requirements of core enterprises for green supplier selection in CoPS's lifecycle, the index system of CoPS's green supplier selection was established, which included economic index, social index and green index. Considering the interaction between suppliers with different functions in different stages or different sub-functions in a stage, an improved CoPS Multi-stage Green Supplier Selection (MGSS&CoPS) model was proposed, which could make single-stage evaluation based on Intuitionistic Fuzzy Sets (IFSs) and Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS). Meanwhile, the definition of compatibility among suppliers was proposed to reduce alternative supplier combination. The optimal CoPS multi-stage supplier combination selection was realized by combining MGSS&CoPS with single-stage supplier evaluation and multi-stage supplier compatibility. An example of green supplier selection for a cement equipment manufacturing enterprise was given to illustrate the feasibility of the proposed method. © 2020, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:2573 / 2589
页数:16
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