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Sustainability 2018, 10(9), 3150; https://doi.org/10.3390/su10093150

Multi-Criteria Group Decision Making for Green Supply Chain Management under Uncertainty

1
Business and Law School, Foshan University, Foshan 528000, China
2
School of Business Information Technology and Logistics, RMIT University, Melbourne, VIC 3000, Australia
3
School of Engineering and Technology, CQUniversity, Melbourne, VIC 3000, Australia
*
Author to whom correspondence should be addressed.
Received: 7 August 2018 / Revised: 27 August 2018 / Accepted: 29 August 2018 / Published: 4 September 2018
(This article belongs to the Section Sustainable Transportation)
Full-Text   |   PDF [800 KB, uploaded 4 September 2018]   |  

Abstract

This paper presents a multi-criteria group decision making model for effectively evaluating the performance of green supply chain management (GSCM) practices under uncertainty in an organization. The subjective assessments of individual decision makers are appropriately represented with the use of intuitionistic fuzzy numbers for better tackling the uncertainty existent. An algorithm is developed to assist individual decision makers in evaluating the performance of alternative GSCM practices across all the evaluation criteria. An example is presented for demonstrating the applicability of the proposed model in solving similar problems in the real-world setting. View Full-Text
Keywords: green supply chain management; multi-criteria analysis; group decision making; uncertainty modeling green supply chain management; multi-criteria analysis; group decision making; uncertainty modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Deng, H.; Luo, F.; Wibowo, S. Multi-Criteria Group Decision Making for Green Supply Chain Management under Uncertainty. Sustainability 2018, 10, 3150.

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