The thesis investigates production control and deadlock prevention in conveyor-based manufacturing systems through a discrete-event simulation approach. The work is focused on a case study that is the model of a real assembly line for electric motor stators. The line is characterized by a complex conveyor network with multiple loops, where congestion and deadlocks frequently occur due to high work-in-progress (WIP) levels and routing constraints. The research aims to evaluate how different control logics and parameter settings affect the overall performance of the line in terms of throughput, stability, and deadlock prevention. Two routing strategies — static and dynamic — are compared, both designed to redirect jobs through longer paths when local loop congestion exceeds predefined thresholds.