Determining the efficiency of the green supply chain in selected Iranian home appliance companies

Subject Areas :

Somayeh Sazgari ¹ , Sayyed Mohammad Reza Davoodi ² , Alireza Goli ³

1 - PhD student, Department of Management, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.
2 - Associate Professor, Department of Management, Dehaghan Branch, Islamic Azad University , Dehaghan, Iran
3 - Faculty of Engineering, University of Isfahan, 81746-73411, Iran

Received: 2024-08-03 Accepted : 2024-12-11 Published : 2025-05-13

Keywords: green supply chain management, performance evaluation, efficiency, fuzzy data envelopment analysis, fuzzy Delphi,

Abstract :

This research aims to determine the efficiency of the green supply chain in selected Iranian home appliance companies. It is a developmental-applied research method that is in the category of mathematical modeling. The statistical population of this research includes a number of top managers and responsible experts active in the field of home appliance industry and a number of academic professors in the field of green supply chain, of which 20 people were selected as a sample. In this research, fuzzy Delphi approaches and fuzzy data envelopment analysis method have been used. Information was collected from 9 home appliance companies (selected) and analyzed. In this article, first, by reviewing the literature and interviewing science-industry experts, the criteria affecting the green supply chain management were identified, and by using the fuzzy Delphi method, a screening was carried out in two stages, and finally 7 criteria were approved. Then, using fuzzy data envelopment analysis, the ranking of the evaluated units was done. The results showed that company A has the best efficiency and the greenest supply chain, and company H has the worst efficiency, which means that it is necessary to pay more attention to companies with low efficiency. In order to show the capability of the proposed model, the developed model was compared with its equivalent basic model and the accuracy of the developed model was concluded.

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