This paper investigates practical strategies for improving manufacturing processes through computer simulations in the domain of industrial automation. The focus is on employing Model-Based Systems Engineering (MBSE), utilizing AutomationML—an XML-based framework—and Visual Components, a tool for simulating industrial processes at the layout and kinematics levels. The study specifically addresses the optimization of the simulation modeling process by examining the integration of AutomationML data into Visual Components. The research involves adapting an existing Visual Components XML-Importer add-on to interpret AutomationML data. This modification allows for the updating of an XML file with information related to the entry station in Visual Components, serving as a illustrative example within a broader mechatronic production system. The findings contribute to the broader MBSE framework by demonstrating a practical application of AutomationML and showcasing its role in enhancing simulation capabilities within industrial processes. Furthermore, this research underlines its potentially valuable contribution to the educational context by facilitating teaching with simulations.