Digital twins create transparency in production and logistics systems and provide support, for example, in the production process. in layout, order and personnel deployment planning thanks to its simulation component. The DaCoR (Data-driven Learning of Control Rules) project focuses on the creation of digital material flow twins based on company data, as part of the open source OpenFactoryTwin (OFacT).
Although simulation-based planning has proven its added value in the past, its creation has so far been complex and time-consuming. This is where DaCoR comes in: Using a (partially) automated approach, not only can static elements such as process times and resource models be mapped, but also dynamic system aspects such as control rules (e.g. FIFO, SPT) can be learned automatically. This enables the efficient creation of realistic models that can be used in planning and control – with significantly reduced effort.
Photos: Fraunhofer IML/Vinzenz Neugebauer
