Superior sea power On the one hand, changes in the volume and type of maritime missions, having an agile lean supply chain under conditions of uncertainty are very necessary and vital.
The main objective of this article is to present a fuzzy cognitive map model to determine the manner and extent of interaction of the main lean factors of maritime supply chain agility. The research approach is a combined approach of fuzzy cognitive maps and the Delphi method. Based on fuzzy cognitive map modeling, the required data was collected and after analysis with SPSS software, the main lean factors of maritime supply chain agility were determined and then the manner and extent of interaction of these factors were analyzed using fuzzy cognitive map calculations based on MATLAB software. Two types of relationships, namely high relational strength and low relational strength, were obtained for the main lean factors of maritime supply chain agility. Factors with high relational strength have a dynamic state so that any changes in them have a direct and very influential role in the lean rate of maritime supply chain agility. However, factors with low relationship strength have a static state, so that any change in them does not have a direct effect on the level of lean supply chain agility, but rather these factors play an infrastructural role in the system’s readiness for lean supply chain agility in maritime logistics.