A new hybrid model based on rough step-wise weight assessment ratio analysis for third-party logistics selection

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dc.authoridUlutas, Alptekin/0000-0002-8130-1301
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorTopal, Ayse
dc.date.accessioned2024-11-07T13:25:27Z
dc.date.available2024-11-07T13:25:27Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIncreasing competition as a result of globalization has forced the businesses to increase efficiency by focusing on the core competencies. This led businesses to outsource logistics. As a result, most of the businesses started to use third-party logistics (3PLs). There are various and conflicting criteria involved in 3PL selection, thus the selection of 3PL is a complex task for businesses. There are several methods in the literature used for 3PL selection, most of them are multi-criteria decision-making methods. A new hybrid model including Rough step-wise weight assessment ratio analysis (SWARA), Rough preference selection Index (RPSI), and Rough improved operational competitiveness rating analysis (IOCRA) has been used to select optimal third-party logistics providers in this study. There are two contributions to this study. First one is the development of a new hybrid rough model for 3PL selection. Second one is addressing the 3PL selection decision problem with newly developed Rough PSI and Rough IOCRA methods. Using this model and conducting a comprehensive analysis, the best option as a 3PL provider may be determined as a partner for logistics. The model effectiveness has been tested in a real case with a textile business and several 3PL providers.
dc.identifier.doi10.1007/s00500-021-06374-0
dc.identifier.endpage2032
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85124236119
dc.identifier.scopusqualityQ2
dc.identifier.startpage2021
dc.identifier.urihttps://doi.org/10.1007/s00500-021-06374-0
dc.identifier.urihttps://hdl.handle.net/11480/14726
dc.identifier.volume26
dc.identifier.wosWOS:000715699800007
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofSoft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subject3PL provider selection
dc.subjectRough SWARA
dc.subjectRPSI
dc.subjectRough IOCRA
dc.titleA new hybrid model based on rough step-wise weight assessment ratio analysis for third-party logistics selection
dc.typeArticle

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