Self-Organizing Process Route Planning

Agile production processes require autonomous systems that independently plan the decision on the further processing of a component. Systems should reconfigure themselves independently and plan process routes based on order data. This makes it possible to minimize downtimes and react to fluctuating material properties as required. For example, individual process steps can only be carried out when the individual component is required, thus reducing effective throughput times. Industrially relevant manufacturing processes are to be investigated as part of the research infrastructure.

 

To this end, the individual production cells are to be globally interlinked in order to be able to technically demonstrate the possibility of self-organization. In addition, further components are to be integrated across locations and the example processes are to be run. While this is also a subject for basic research topics in terms of self-organization, the technical linking of systems is highly relevant for applied research topics within collaborative research projects. In connection with the digital twin of the entire production network, investigations can be carried out completely virtually, as well as hybrid and - in parts - also in reality.

© University of Augsburg

Projects

  • ADMORPH - Adaptive real-time scheduling of parallel applications for security-relevant cyber-physical systems to improve robustness against hardware faults and attacks.
  • FORinFPRO - Self-adaptive control systems for intelligent manufacturing processes and closed-loop production.
  • ProsKI - Development of an AI module for fault management to support decision-making in the event of a fault and to forecast future faults.

Contact research focus

Assistant Professor
Institute for Software & Systems Engineering
Email:

Coordinator Digitalisation and Self-Organisation

Dr.-Ing. Nils Mandischer
Koordinator Digitalisierung und Selbstorganisation
KI-Produktionsnetzwerk Augsburg
Email:

Search