Simulation of a Selected Production Process within the SIMUL8 Environment

This bachelor thesis focuses on the application of discrete event simulation to analyze and optimize a production process within a specific industrial company. The primary objective is to develop a functional simulation model of an automotive catalyst surface treatment line using SIMUL8 software and to identify bottlenecks limiting production flow. The theoretical part defines simulation study methodology and provides an overview of the current simulation software market. The practical section covers real-world data collection, model construction, and subsequent validation, which confirmed a high degree of accuracy with a deviation of 1,54% compared to actual results. Through "What-if" experimental scenarios, the system's sensitivity to changes in cycle times and operational reliability was tested. Simulation results revealed that the furnace is the critical bottleneck and that speeding up preceding operations without systemic changes in batching logic does not lead to increased throughput. The thesis provides the company management with specific recommendations for adjusting production planning and making effective investments in production infrastructure.