The thesis illustrates a framework for the simulation of regional logistic systems by analyzing economic value and strategic decision-making in agents involved in the supply chain. The model is developed using Anylogic, thus creating a fully scalable platform and observing the supply chain development through Agent-based modelling. In this way, two main output results are expected: on one hand support strategic level decisions driven by exogenous factors; on the other hand, highlight actors in the logistic process and how their interaction drives the overall development. The efficient management of a logistics corridor requires proper infrastructure and organized autonomous actors, which are subject to different constraints and optimization problems, therefore having unalike needs for investments required for growth.