Title: Evaluating and prioritising the factors affecting green supply chain management by using analytic hierarchy process and fuzzy logic

Authors: Hamid Babaei Meybodi; Zahra Delshad

Addresses: Department of Management, Meybod University, Meybod, Iran ' Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran

Abstract: There is always a demand for more effective supply chain management methods capable of addressing the needs of today's businesses. In recent decades, green supply chain management has found extensive use as a central management approach in various industries. This paper provides a green supply chain management analysis approach for the polymer industry based on the analytic hierarchy process (AHP) and fuzzy logic (FL), which can be used to study suppliers, customers, logistics providers, and manufacturers of this industry under the conditions of environmental regulations. First, the AHP method was used to rank the criteria based on pairwise comparisons made by decision-makers and the weights computed accordingly, and then the fuzzy logic was used to address the uncertainties in green supply chain management. According to the results of the analysis of the importance and efficiency of the criteria, suppliers, customers, logistics service providers, manufacturers, (respectively) are sensitive to environmental issues.

Keywords: green supply chain management; GSCM; multi-criteria decision making; fuzzy logic.

DOI: 10.1504/IJLSM.2023.133544

International Journal of Logistics Systems and Management, 2023 Vol.46 No.1, pp.121 - 142

Received: 26 Sep 2020
Accepted: 29 Apr 2021
Published online: 19 Sep 2023 *

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