A NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEM

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dc.authorid0000-0002-8130-1301tr
dc.contributor.authorUlutaş, Alptekin
dc.contributor.authorPopovic, Gabrijela
dc.contributor.authorRadanov, Pavlov
dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorKarabasevic, Darjan
dc.date.accessioned2022-05-11T06:23:38Z
dc.date.available2022-05-11T06:23:38Z
dc.date.issued2021tr
dc.departmentİktisadi ve İdari Bilimler Fakültesitr
dc.description.abstractNowadays, customers are not only interested in the quality of products, but they also want to have these products in a timely manner. The managers of an organization are faced with two problems when the distribution of products is in question, namely: (1) customers are usually geographically dispersed and (2) transportation should be performed in a cost-effective way. Although managers may have a significant experience and formal knowledge, decisions connected with the selection of an appropriate transportation company may very often be biased. For the purpose of avoiding making the inadequate decisions that might harm the operation of the organization, the application of a hybrid MCDM model is proposed in this paper. The proposed model consists of three fuzzy MCDM methods, including: the PIPRECIA, the PSI, and the CoCoSo methods. The fuzzy-PIPRECIA method is used to achieve the subjective weights of criteria, whereas the fuzzy-PSI method is used to obtain the objective weights of criteria. Fuzzy-CoCoSo is utilized to rank alternative transportation companies according to their performances. The possibilities of the proposed hybrid model are tested on a real case study pointed at the selection of an appropriate company for the transportation of ready-garments to retailers in Turkey.tr
dc.identifier.citationUlutaş, A., Popovic, G., Radanov, P., Stanujkic, D., & Karabasevic, D. (2021). A new hybrid fuzzy PSI-PIPRECIA-CoCoSo MCDM based approach to solving the transportation company selection problem. Technological and Economic Development of Economy, 27(5), p.1227-1249.tr
dc.identifier.doi10.3846/tede.2021.15058en_US
dc.identifier.endpage1249tr
dc.identifier.issn2029-4913
dc.identifier.issue5tr
dc.identifier.scopus2-s2.0-85114233193en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage1227tr
dc.identifier.urihttps://hdl.handle.net/20.500.12418/12763
dc.identifier.volume27tr
dc.identifier.wosWOS:000691263600012en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherVilnius Gediminas Technical Universitytr
dc.relation.ispartofTechnological and Economic Development of Economyen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.rightsinfo:eu-repo/semantics/closedAccesstr
dc.subjectFuzzy PSItr
dc.subjectFuzzy PIPRECIAtr
dc.titleA NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEMen_US
dc.typeArticleen_US

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