Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets

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  • SDG 12 · Sorumlu Üretim ve Tüketim

Özet

Although environmental awareness has reached a high level, enterprises—regardless of their working domains—follow the concept of greenness for their practices. This awareness among the stakeholders and supply chain experts has a positive impact on the purchasing departments of enterprises in various sectors to consider greenness in their procurement processes. The critical decision that must be made in green supply chain management (GSCM) is supplier selection. In the textile industry, a highly competitive market in recent years, suppliers for this industry have crucial roles in business activities considering environmental issues. Therefore, green supplier selection (GSS) in the textile industry is considered a must-be process for the stakeholders. In this study, a GSS problem is tackled as a multi-criteria decision process. Best worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) methods are merged under an improved fuzzy concept of interval type-2 fuzzy sets (IT2FSs). In determining green suppliers’ evaluation criteria, BWM with interval type-2 fuzzy numbers (IT2F-BWM) is used. In selecting green suppliers, an interval type-2 fuzzy TODIM (IT2F-TODIM) is applied. Considering the characteristics of IT2FSs, BWM, and TODIM methods either individually and in integrated style, the proposed approach can handle uncertainty in the decision-making of GSS. To demonstrate the applicability of the approach, a case study in the Turkish textile industry is performed. Three green supplier alternatives (S1, S2, and S3) are assessed under forty-two sub-criteria. The study shows the most significant sub-criteria are recognized as dye and print quality, product design and pattern suitability, profit on the product, variation in price, and purchase cost. S2 green supplier has been selected as the most appropriate one. A sensitivity analysis is also fulfilled to check variation in the ranking of green suppliers.

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https://rdlopen.rawdatalibrary.net/r/munzur/2434Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.1007/s11356-021-13832-7Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorCelik, Erkan
dc.contributor.authorYucesan, Melih
dc.contributor.authorGul, Muhammet
dc.date.accessioned2026-10-28T14:55:22.359068706Z
dc.date.available2026-10-28T14:55:22.359068706Z
dc.date.issued2021
dc.description.abstractAlthough environmental awareness has reached a high level, enterprises—regardless of their working domains—follow the concept of greenness for their practices. This awareness among the stakeholders and supply chain experts has a positive impact on the purchasing departments of enterprises in various sectors to consider greenness in their procurement processes. The critical decision that must be made in green supply chain management (GSCM) is supplier selection. In the textile industry, a highly competitive market in recent years, suppliers for this industry have crucial roles in business activities considering environmental issues. Therefore, green supplier selection (GSS) in the textile industry is considered a must-be process for the stakeholders. In this study, a GSS problem is tackled as a multi-criteria decision process. Best worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) methods are merged under an improved fuzzy concept of interval type-2 fuzzy sets (IT2FSs). In determining green suppliers’ evaluation criteria, BWM with interval type-2 fuzzy numbers (IT2F-BWM) is used. In selecting green suppliers, an interval type-2 fuzzy TODIM (IT2F-TODIM) is applied. Considering the characteristics of IT2FSs, BWM, and TODIM methods either individually and in integrated style, the proposed approach can handle uncertainty in the decision-making of GSS. To demonstrate the applicability of the approach, a case study in the Turkish textile industry is performed. Three green supplier alternatives (S1, S2, and S3) are assessed under forty-two sub-criteria. The study shows the most significant sub-criteria are recognized as dye and print quality, product design and pattern suitability, profit on the product, variation in price, and purchase cost. S2 green supplier has been selected as the most appropriate one. A sensitivity analysis is also fulfilled to check variation in the ranking of green suppliers.
dc.identifier.doi10.1007/s11356-021-13832-7
dc.identifier.eissn1614-7499
dc.identifier.endpage64817
dc.identifier.issn0944-1344
dc.identifier.issue45
dc.identifier.pmid34313933
dc.identifier.scopus2-s2.0-85111564102
dc.identifier.startpage64793
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/2434
dc.identifier.volume28
dc.identifier.wosWOS:000677990600016
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBWM
dc.subjectGreen supplier selection
dc.subjectInterval type-2 fuzzy sets
dc.subjectTextile industry
dc.subjectTODIM
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otherCommerce
dc.subject.otherDecision Making
dc.subject.otherIndustry
dc.subject.otherTextile Industry
dc.subject.otherUncertainty
dc.subject.otherbusiness development
dc.subject.otherdecision analysis
dc.subject.otherfuzzy mathematics
dc.subject.otherranking
dc.subject.othersensitivity analysis
dc.subject.otherstakeholder
dc.subject.othersupply chain management
dc.subject.othercommercial phenomena
dc.titleGreen supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets
dc.typeArticle
rdl.citation.openalex100
rdl.citation.scopus88
rdl.citation.wos72
rdl.departmentDepartment of Transportation and Logistics, Istanbul University, 34322, Istanbul, Turkey
rdl.departmentDepartment of Mechanical Engineering, Munzur University, 62000, Tunceli, Turkey
rdl.departmentDepartment of Emergency Aid and Disaster Management, Munzur University, 62000, Tunceli, Turkey
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.sdgSDG12
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)