Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company.

Guohua Qu, Zhijie Zhang, Weihua Qu, Zeshui Xu
Author Information
  1. Guohua Qu: School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
  2. Zhijie Zhang: School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
  3. Weihua Qu: Institute of Management and decision, Shanxi University, Taiyuan 030006, China.
  4. Zeshui Xu: Business School, Sichuan University, Chengdu 610064, China.

Abstract

The selection of appropriate green chain suppliers is a very critical decision for effective and efficient green supply chain management in today's increased awareness and significant environmental pressures from various stakeholders. The aim of this paper is to screen appropriate green chain suppliers based on a framework using fuzzy TOPSIS and ELECTRE for a Chinese internet company. The framework is proposed, grounded on a literature review on green supply chain management practices, after which an empirical analysis is made to be applied an integrated suppliers selection, based on green practices incorporating specifically data collected of the 12 criteria from a set of 12 available suppliers. We use a fuzzy TOPSIS and ELECTRE approach to rank the green chain suppliers, and the results of the proposed framework are compared with the ranks obtained by both the outranking degrees and the incomparability among the actions of fuzzy ELECTRE methodology. Finally, sensitivity analysis was conducted to test the feasibility of the best alternative. The results indicated that the best supplier was alternative 9, and there were four dominant criteria: management support for GSCM, used environmentally friendly materials, followed legal environmental requirements and policies, and reduced the use of harmful substances.

Keywords

MeSH Term

Commerce
Conservation of Natural Resources
Decision Making
Delivery of Health Care
Fuzzy Logic
Internet

Word Cloud

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