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dc.contributor.authorUlutaş, Alptekin
dc.date.accessioned2022-05-09T13:03:00Z
dc.date.available2022-05-09T13:03:00Z
dc.date.issued2021tr
dc.identifier.urihttps://hdl.handle.net/20.500.12418/12688
dc.description.abstractEnterprises need to work with a proper third-party logistics provider to reduce costs and increase their logistics performance; so the third-party logistics (3PL) provider selection problem is a significant one for them. In this study, grey step-wise weight assessment ratio analysis (SWARA) and grey combinative distance-based assessment (CODAS) are proposed to address this problem. To the best of the authors’ knowledge, no other study uses grey SWARA and grey CODAS together to solve any problem. Therefore a new grey hybrid model incorporating grey SWARA and grey CODAS is proposed to identify the best 3PL provider.tr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.titleA GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDERtr
dc.typearticletr
dc.contributor.departmentİktisadi ve İdari Bilimler Fakültesitr
dc.contributor.authorID0000-0002-8130-1301tr
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr


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