Fermatean fuzzy framework based on preference selection index and combined compromise solution methods for green supplier selection in textile industry

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dc.authoridUlutas, Alptekin/0000-0002-8130-1301
dc.authoridKaramasa, Caglar/0000-0003-2454-1824
dc.authoridTOPAL, AYSE/0000-0003-1882-4545
dc.authoridECER, FATIH/0000-0002-6174-3241
dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.contributor.authorPamucar, Dragan
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorTopal, Ayse
dc.contributor.authorKaramasa, Caglar
dc.contributor.authorEcer, Fatih
dc.date.accessioned2024-11-07T13:35:19Z
dc.date.available2024-11-07T13:35:19Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis work aims to enhance the efficiency and dependability of the green supplier selection process by developing a decision support tool. Thereby, a novel fuzzy group multi-criteria decision-making approach based on the Preference Selection Index (PSI) and Combined Compromise Solution (CoCoSo) methods under the Fermatean Fuzzy (FF) environment for green supplier selection is proposed. The primary novelties and contributions are: (i) for the first time, the FF-PSI model is developed to extract the priority weight values of criteria, (ii) an improved FF-CoCoSo methodology is proposed, and (ii) the FF-PSI-CoCoSo framework is offered for resolving challenging real-life problems. To present the framework's practicality, a real-case study evaluating six suppliers concerning nine drives under economics, environmental, and technological aspects in a textile company in Turkey is conducted. The results indicate that green warehousing is the most essential driver for green suppliers, followed by recycling and damaged product ratio. A detailed sensitivity and comparison check is further conducted to display the solidity and effectiveness of the proposed framework. The suggested framework offers a reliable solution for green supplier selection and a precise sustainable rating of suppliers. Moreover, it can be addressed to solve various challenging real-world problems.
dc.identifier.doi10.1080/23302674.2024.2319786
dc.identifier.issn2330-2674
dc.identifier.issn2330-2682
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85185933206
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/23302674.2024.2319786
dc.identifier.urihttps://hdl.handle.net/11480/16446
dc.identifier.volume11
dc.identifier.wosWOS:001172807400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofInternational Journal of Systems Science-Operations & Logistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectGreen supplier selection
dc.subjectsustainability
dc.subjectFermatean fuzzy sets
dc.subjectMCDM
dc.subjectPSI
dc.subjectsupply chain management
dc.titleFermatean fuzzy framework based on preference selection index and combined compromise solution methods for green supplier selection in textile industry
dc.typeArticle

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