Using simulation as a tool for production process optimization represents a useful approach to exploring many optimization options which lie ahead on the process improvement path. Previously published research papers report on combining the simulation with another optimization method or a set of manufacturing practices or digital technology. To avoid the complexity of the developed optimization approach in practical application, this paper presents an approach that focuses on grouping the parts first and then simulating the parts group schedule, batch size, and parts interarrival time options to minimize production process cycle time and maximise the output quantity. The developed algorithm was tested with the data from a real case, for the production of the subassembly for the metal frame used in automotive parts logistics. The experimental results show improvements in defined performance parameters for set optimization goal.