Real-Time Tracking of Production in Assembly Operations Using Agent-Based Modeling and Digital Twin Techniques

The integration of Digital Twins into manufacturing environments unlocks significant value through a range of benefits. In this work, we demonstrate the digitalization of a physical system. The chosen system is an emulated automotive assembly process, for which we create a virtual representation of both the physical system's state and the product itself using Agent-Based Modeling techniques. To twin the physical and virtual worlds, we leverage real-time data collected from automation systems and Internet of Things devices. The motivation for this work lies behind the need to create Digital Twin models that can be used to integrate bidirectional data flows into industrial simulation models.