A novel model proposal for logistics performance analysis in Fermatean fuzzy approach
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Dosyalar
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Performance 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.
Açıklama
Anahtar Kelimeler
Fermatean fuzzy, Logistics, LPI, LSCI, Multi-criteria decision making
Kaynak
Research in Transportation Business and Management
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
61
