Selection of a Forklift for a Cargo Company with Fuzzy BWM and Fuzzy MCRAT Methods

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dc.authoridBALO, Figen/0000-0001-5886-730X
dc.authoridTopal, Ayse/0000-0003-1882-4545
dc.authoridUlutaş, Alptekin/0000-0002-8130-1301
dc.authoridKarabasevic, Darjan/0000-0001-5308-2503
dc.authorwosidBALO, Figen/W-1865-2018
dc.authorwosidTopal, Ayse/AAH-2633-2020
dc.authorwosidUlutaş, Alptekin/HHZ-2996-2022
dc.authorwosidKarabasevic, Darjan/J-4913-2019
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorTopal, Ayse
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorBalo, Figen
dc.date.accessioned2024-08-04T20:53:44Z
dc.date.available2024-08-04T20:53:44Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractMaterial handling is a cost-intensive operation for businesses. There are several alternative types of equipment for material handling, therefore it is important to select the best one among them to decrease the cost. As there are several different alternatives and criteria which are used to assess these alternatives, multi-criteria decision making (MCDM) techniques are useful to determine the optimal material handling equipment (MHE) for businesses. In this study, fuzzy BWM for determining weights of criteria and the fuzzy Multiple Criteria Ranking by Alternative Trace (MCRAT) method have been used for ranking forklift alternatives. This study's significance in the literature will be the creation of a novel fuzzy MCDM technique with the application of fuzzy MCRAT. Furthermore, there are relatively few studies employing the MCRAT approach in the literature; therefore, this study will provide additional data and outcomes from this method to the literature. The findings present that the forklift with the code FLT-3 performed the best, whereas the forklift with the code FLT-2 had the worst performance, according to the fuzzy MCRAT technique. According to the comparison analysis, the fuzzy MCRAT produced the same results as the fuzzy ARAS and had a few subtle differences to fuzzy MARCOS.en_US
dc.identifier.doi10.3390/axioms12050467
dc.identifier.issn2075-1680
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85160230128en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.3390/axioms12050467
dc.identifier.urihttps://hdl.handle.net/11616/101370
dc.identifier.volume12en_US
dc.identifier.wosWOS:001011241700001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofAxiomsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectforklift selectionen_US
dc.subjectfuzzy BWMen_US
dc.subjectfuzzy MCRATen_US
dc.subjectMCDMen_US
dc.titleSelection of a Forklift for a Cargo Company with Fuzzy BWM and Fuzzy MCRAT Methodsen_US
dc.typeArticleen_US

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