A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER
| dc.authorid | 0000-0002-8130-1301 | tr |
| 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.department | İktisadi ve İdari Bilimler Fakültesi | tr |
| 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.identifier.uri | https://hdl.handle.net/20.500.12418/12688 | |
| dc.identifier.wos | WOS:000657099400015 | en_US |
| dc.identifier.wosquality | Q4 | |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.relation.publicationcategory | Uluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanı | tr |
| dc.rights | info:eu-repo/semantics/openAccess | tr |
| dc.title | A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER | en_US |
| dc.type | Article | en_US |
