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dc.contributor.authorKeskin, Gülsen Aydın
dc.date.accessioned2023-09-25T06:59:49Z
dc.date.available2023-09-25T06:59:49Z
dc.date.issued2022en_US
dc.identifier.urihttps://doi.org/10.1142/S0219622022500195
dc.identifier.uri0219-6220 / 1793-6845
dc.identifier.urihttps://hdl.handle.net/20.500.12462/13422
dc.description.abstractIn this study, it is aimed to contribute to the development of companies in order to reach the desired values utilizing the cluster features of the suppliers in a sustainable supplier evaluation process and to guide the supplier in this regard. The clustering features acquired at the end of the study will guide the determination of sustainable supplier criteria and potential new suppliers according to the sector and business line in future studies. The first step of the three-stage model is to apply the best-worst method to determine the weights of the criteria. At the second stage, suppliers are clustered together by the k-means algorithm and silhouette index method. At the third stage, suppliers are divided into categories, and suggestion policies for each supplier category are included. Then, sensitivity analysis has been performed to analyze the effects of variations of criteria weights on the result of the proposed model. Finally, to express the integrated method, a real-life sustainable supplier selection problem is solved and suppliers are categorized according to their similarities. Following evaluation, it was seen that the environmental management system and waste management criteria were the most critical criteria in the categorization of suppliers. When its reasons are investigated, sectoral characteristics come into prominence. The results indicate that the proposed model fits well as a multicriteria decision-making tool for sustainable supplier selection and evaluation decisions. Finally, it is predicted that this model will evaluate new suppliers or new products/services to be procured and selected from the set of features.en_US
dc.language.isoengen_US
dc.publisherWorld Scientific Publ Co Pte Ltden_US
dc.relation.isversionof10.1142/S0219622022500195en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectSustainabilityen_US
dc.subjectSupplier Performance Evaluationen_US
dc.subjectBest–Worst Method (BWM)en_US
dc.subjectSilhouette Indexen_US
dc.subjectK-Means Clusteringen_US
dc.subjectMulticriteria Decision-Making (MCDM)en_US
dc.titleA novel perspective to sustainable supplier performance evaluation problem: A case study based on determining the optimum number of clustersen_US
dc.typearticleen_US
dc.relation.journalInternational Journal of Information Technology & Decision Makingen_US
dc.contributor.departmentMühendislik Fakültesien_US
dc.contributor.authorID0000-0001-6639-1882en_US
dc.identifier.volume21en_US
dc.identifier.issue4en_US
dc.identifier.startpage1349en_US
dc.identifier.endpage1379en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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