Production control systems are essential for optimizing manufacturing processes by controlling workflow, reducing waste, and improving efficiency. However, these systems are often challenging to understand due to the complexity of their underlying principles and their impact on production performance. Traditional teaching methods and tools may fail to provide the interactive and dynamic learning experience needed to convey these concepts effectively. This paper addresses the challenge of teaching production control systems in an engaging and intuitive way by introducing VISP ("Virtual Interactive Simulation of Production"), a Virtual Reality application designed to visualize and interactively demonstrate production planning and scheduling methods. As a first example, we implemented Kanban, allowing users to collaboratively adjust key parameters—such as machine speed, container configuration, and product flow—and observe their effects on critical Key Performance Indicators (KPIs), including production throughput time, costs, inventory, delays, and delivery reliability. The purpose of VISP is to bridge the gap between theoretical understanding and practical application of production control systems. By enabling hands-on experimentation and real-time feedback, VISP provides a tool for understanding complex systems and supports users in identifying optimal configurations through interactive learning.
Niedermayr et al. (Thu,) studied this question.