The Task
In future, products must be able to meet increasingly individual customer requirements. For a production facility, this means that it must be able to produce both large quantities and small quantities down to batch size 1. This requires maximum flexibility. Using the example of bus production, the task of the TwinMap research project is to optimize the interaction of heterogeneous machines and a wide variety of manufacturing processes – from state-of-the-art 3D printing to machining – and to make the effects of new technologies predictable. Further digitalization and networking of machines and processes on an IT platform should only take place on the basis of standards.
The Goals
- Developing digital twins for the heterogeneous machinery, value stream and supply chain of a complete parts production facility in bus manufacturing
- Optimizing the interaction of both individual machines and key processes in parts production and
- Establishing an open innovation community
- Making the effects of new systems and technologies on the overall process predictable through simulations.
Contribution from FORCAM-ENISCO
- The connection of machines with different control types with the FORCE EDGE CONNECT solution (shop floor to top floor)
- Examination of the Asset Administration Shell (AAS), in particular the submodels nameplate, signal image and signal composition
Partner-specific goals
- Integration of the machine connectivity into the AAS approach
- “Onboarding of machines” based on the AAS approach
- Research into the use of digital twins during operation
Partners
The partners in the research project, which is funded by the Federal Ministry of Economics and Climate Protection (BMWK), are besides FORCAM:
DAIMLER Truck (Daimler Buses), TRUMPF Laser- und Systemtechnik, VELIT Consulting, ISG Industrielle Steuerungstechnik, SimPlan, Institute for Automation and Communication.