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

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          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.

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          Extensions of the TOPSIS for group decision-making under fuzzy environment

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            Supply Chain Management: More Than a New Name for Logistics

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              Green supply chain management in China: pressures, practices and performance

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                07 May 2020
                May 2020
                : 17
                : 9
                : 3268
                Affiliations
                [1 ]School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China; zzj199805@ 123456163.com
                [2 ]Institute of Management and decision, Shanxi University, Taiyuan 030006, China; quweihua@ 123456sxu.edu.cn
                [3 ]School of Economics and Management, Shanxi University, Taiyuan 030006, China
                [4 ]Business School, Sichuan University, Chengdu 610064, China; xuzeshui@ 123456scu.edu.cn
                Author notes
                [* ]Correspondence: qugh@ 123456sxufe.edu.cn ; Tel.: +86-155-0368-3031
                Article
                ijerph-17-03268
                10.3390/ijerph17093268
                7246750
                32392876
                3d822944-613e-484a-835c-63502800f8c3
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 March 2020
                : 06 May 2020
                Categories
                Article

                Public health
                green supply chain management (gscm),supplier selection,triangular fuzzy number,fuzzy topsis,electre

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