dc.contributor.author | Ulutaş, Alptekin | |
dc.date.accessioned | 2022-05-09T13:03:00Z | |
dc.date.available | 2022-05-09T13:03:00Z | |
dc.date.issued | 2021 | tr |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/12688 | |
dc.description.abstract | Enterprises 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.rights | info:eu-repo/semantics/openAccess | tr |
dc.title | A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER | tr |
dc.type | article | tr |
dc.contributor.department | İktisadi ve İdari Bilimler Fakültesi | tr |
dc.contributor.authorID | 0000-0002-8130-1301 | tr |
dc.relation.publicationcategory | Uluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanı | tr |