Additive manufacturing (AM) has achieved significant importance in recent years as a rapidly growing and promising fabrication process. This technology overcomes traditional manufacturing by efficiently producing unique and complex parts and enabling cost-effective mass customization. However, in order to enable mass production, there are several challenges that must be faced. One particular difficulty is the scheduling of additive manufacturing jobs, as it involves producing multiple heterogeneous jobs together in a batch. The aim of this thesis is to partially address this issue by focusing on the optimization of the makespan of a hybrid flow shop system comprising parallel identical distributed additive manufacturing factories, and the posterior post-processing facilities.