Abstract
For OPEC member states—whose economies heavily rely on oil exports—effective logistics systems are critical for maintaining stability and growth. While many studies analyze logistics performance using composite indices or econometric models, few have examined the impact of different MCDM weighting and ranking techniques on the evaluation results. This study aims to fill this gap by comparing two objective weighting methods—Entropy and CRITIC—and integrating them with two widely used MCDM ranking techniques, TOPSIS and CoCoSo. In the first stage, Entropy and CRITIC methods were applied to determine the weights of logistics performance indicators. The results show that Entropy prioritizes structural, information-intensive criteria such as infrastructure, while CRITIC gives more weight to performance-based indicators like shipment efficiency and on-time delivery due to its sensitivity to standard deviation and correlation. In the second stage, TOPSIS and CoCoSo methods were used to generate country rankings. CoCoSo results demonstrated more stable and balanced performance.