A novel model proposal for logistics performance analysis in Fermatean fuzzy approach

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dc.contributor.authorÖzdemir, Mustafa
dc.date.accessioned2025-06-23T08:22:31Z
dc.date.available2025-06-23T08:22:31Z
dc.date.issued2025
dc.departmentAÇÜ, Arhavi Meslek Yüksekokulu, Dış Ticaret Bölümü
dc.description.abstractPerformance evaluation studies conducted for the logistics sector can help managers take efficient and effective actions and achieve success in their strategies. In this study, a fuzzy-based model that considers a wide range of uncertainties for global logistics performance measurement is proposed. The logistics performance of 112 countries was examined in a Fermatean fuzzy environment by combining the Logistics Performance Index presented by the World Bank and the Liner Shipping Connectivity Index published by the United Nations. In the first stage of the two-stage application, the importance level weights of the variables used in logistics performance measurement were calculated based on expert opinions. In the second stage, the recently proposed Compromise Ranking of Alternatives from Distance to Ideal Solution method was expanded into the Fermatean fuzzy environment, and the logistics performance scores of the countries were measured. According to the study results, the Liner Shipping Connectivity Index (0.420) was identified as the most important variable in logistics performance measurement. Singapore achieved the highest logistics performance score across all applied method parameters, highlighting its exceptional performance. Singapore stands out as a best-practice example for countries aiming to improve their logistics performance. The measurement results of logistics performance in the new model, which considers the widest level of uncertainty through various sensitivity analyses, are promising. The study results provide valuable insights for researchers, decision-makers, and policymakers regarding performance measurement in the logistics sector. The proposed model for global logistics performance measurement is expected to make a significant contribution to the literature.
dc.identifier.doi10.1016/j.rtbm.2025.101415
dc.identifier.issn22105395
dc.identifier.scopus2-s2.0-105005576581
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/5599
dc.identifier.volume61
dc.identifier.wosWOS:001499523400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorÖzdemir, Mustafa
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofResearch in Transportation Business and Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectFermatean fuzzy
dc.subjectLogistics
dc.subjectLPI
dc.subjectLSCI
dc.subjectMulti-criteria decision making
dc.titleA novel model proposal for logistics performance analysis in Fermatean fuzzy approach
dc.typeArticle

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