A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods

Basit Öğe Kaydı
dc.authoridUlutaş, Alptekin/0000-0002-8130-1301
dc.authoridKarabasevic, Darjan/0000-0001-5308-2503
dc.authoridTopal, Ayse/0000-0003-1882-4545
dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridStevi?, ?eljko/0000-0003-4452-5768
dc.authoridPopovic, Gabrijela/0000-0002-2652-4860
dc.authorwosidUlutaş, Alptekin/HHZ-2996-2022
dc.authorwosidKarabasevic, Darjan/J-4913-2019
dc.authorwosidTopal, Ayse/AAH-2633-2020
dc.authorwosidPamucar, Dragan/AAG-8288-2019
dc.authorwosidStevi?, ?eljko/P-6467-2018
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorTopal, Ayse
dc.contributor.authorPamucar, Dragan
dc.contributor.authorStevic, Zeljko
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorPopovic, Gabrijela
dc.date.accessioned2024-08-04T20:53:17Z
dc.date.available2024-08-04T20:53:17Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractSupplier selection is an important task in supply chain management, as suppliers have a vital role in the success of organisations in a supply chain. Sustainability has emerged as a solution to decreasing resources and increasing environmental and social problems in the past few decades. It has been applied to various industrial operations, one of them is supplier selection, to mitigate unwanted effects in the future. Sustainable supplier selection is a complicated multi-criteria decision making problem, including several criteria from economic, environmental, and social perspectives. To deal with subjective judgements of decision makers, fuzzy and grey methods are widely used in multi-criteria decision making, In the case of small, limited, and incomplete data, the grey theory provides satisfactory results, compared to fuzzy methods. Therefore, this study is an integrated method including grey Best-Worst Method (BWM) and grey Weighted Sum-Product (WISP) for choosing the most sustainable supplier for a textile manufacturer, which includes three main criteria and twelve sub-criteria. According to the result of the proposed model, the supplier with the best performance was determined to be the supplier with the SP2 coded. The results of the developed model were shown to the experts, and the accuracy of the results was confirmed. According to the experts, a higher amount of product can be purchased from the supplier with the SP2 code, and a tighter relationship can be worked with this supplier. The contributions of this study are: (1) Develop a new grey MCDM model called Grey WISP. (2) Create a new integrated MCDM model with grey theory, BWM, and WISP methods that can be applied to assess supplier sustainability using this hybrid model. The proposed model can be used not just for selecting sustainable suppliers, but also for any other decision problems that have multiple criteria and alternatives. The findings suggest that the Grey WISP method achieved accurate results.en_US
dc.identifier.doi10.3390/su142416921
dc.identifier.issn2071-1050
dc.identifier.issue24en_US
dc.identifier.scopus2-s2.0-85144887443en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/su142416921
dc.identifier.urihttps://hdl.handle.net/11616/101082
dc.identifier.volume14en_US
dc.identifier.wosWOS:000902969700001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSustainabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgrey WISPen_US
dc.subjectgrey BWMen_US
dc.subjectMCDMen_US
dc.subjectsupplier selectionen_US
dc.subjectsustainabilityen_US
dc.titleA New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methodsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu