Developing Logistics and Supply Chain Management by Using Agent-Based Simulation

Abstract

Agent-based simulation provides new opportunities to resolve companies' complex problems. This paper presents an agent-based modeling approach for resolving the vehicle scheduling and fleet optimization problem. The method is implemented on case company data and various key performance indicators are generated to measure the efficiency of the solution.