Evaluation of Transport Chain Performance using the IMF SWARA - Fuzzy ROV Model

Abstract

In modern logistics, transport chains are a strategic success factor for companies, influenced by the demand for fast delivery of goods, digitalization and sustainability. Optimizing these processes requires complex decision making, considering costs, speed, reliability and environmental impact. This paper defines an integrated IMF SWARA and Fuzzy ROV model based on the fuzzy Bonferroni aggregation operator for the analysis of transport chains under conditions of uncertainty. Testing on a case study of the Hygiene Pro Team company shows that the combination of road, sea and rail transport (A3 and A4) yields the best results, while the river alternative (A7) has the lowest ranking. The paper confirms the effectiveness of the fuzzy MCDM approach in balancing economic, operational and sustainability aspects, highlighting the need for further research by incorporating AI and expanded criteria.