| Autor: |
Saghafinia, Ali, Fallahpour, Alireza, Asadpour, Milad, Abedian, Mansour |
| Zdroj: |
Cybernetics & Systems; 2024, Vol. 55 Issue 5, p1285-1310, 26p |
| Abstrakt: |
Sustainable supply chain management (SSCM) is the integration of economic, social, and environmental concerns into the supply chain practices that plays an important role to minimize industrial pollution, global warming, and carbon emission and make a supply chain green. In the present article, a novel fuzzy analytical hierarchy process (AHP) as a fuzzy preference programming (FPP) approach has been combined with fuzzy inference system (FIS) for evaluating the performance of suppliers considering carbon management (CM) indicators. To do so, 12 indicators are classified in four basic perspectives applying the Delphi method. The importance weights of perspectives and their related indicators are calculated performing FPP. Accordingly, the weighted performance values that are inputs of FIS are calculated and finally, the weighted fuzzy system will be applied to obtain the total environmental performance of the suppliers. Moreover, we implemented our model within a home appliances manufacturing company in Iran to examine its efficiency. Results approve that the proposed approach can apply efficiently in real situations and are reliable-enough. Furthermore, findings provide more insight for the managers of the company toward the concept of the CM and make them able to find their weaknesses and work with their partners to fix them. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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