EVALUATION OF THE LOGISTICS PERFORMANCE INDEX OF OECD COUNTRIES BASED ON HYBRID MCDM METHODS

This study aims to assess the logistics performance index (LPI) of OECD countries using the integrated MCDM methods. For this investigation, the data was obtained from the “Connecting to Compete 2023 - LPI” report. At first, the weight of criteria was determined by several methods such as SD, CRITIC, LOPCOW and MEREC. Then, criteria weights obtained from different methods were combined with the Aggregate Weighting Method (AWM). The LPI of OECD countries were ranked using the CRADIS method. The results of the AWM showed that tracking and tracing, and logistics competence and quality were the most and least important criteria, respectively. The results of the CRADIS method revealed that Finland was the best-ranked logistics performance, while Costa Rica was the worst-ranked logistics performance in the OECD countries. Additionally, the robustness and validity of the proposed model was tested by sensitivity analysis and comparative analysis.