ARUM – Adaptive Production Management

The occurring risks are bigger than in the production of big series such
as automotive. Thus, new ICT-based approaches are required. The aim is to develop miti-
gation strategies to respond faster to unexpected events. Therefore the knowledge base
has to be enriched for real-time decision support, to detect early warning and to acce-
lerate learning. Our approach is based on a new generation of service-orientated enter-
prise information platforms, a service-orientated bus integrating service-based architecture and knowledge-based multi-agent systems (MAS). A holonic MAS combined with a
service architecture will improve performance and scalability beyond the state of the art.
The solution integrates multiple layers of sensors, legacy systems and agent-based tools
for beneficial services like learning, quality, risk and cost management. Additionally the
ecological footprints will be reduced. The ARUM solution will run in two modes: predic-
tive and real-time simulation. The predictive mode supports the planning phase whereas
the real-time operations mode supports dynamic, time-, cost- and risk-oriented re-plan-
ning of operations. The provision of information for engineering to alter in case of imma-
turity or late requests for changes is supported equally. ARUM is strongly end-user driven
and the results will be tested on three industrial use cases with a focus on aircraft, aircraft
interiors and ship manufacturing. The solution will be validated in a real industrial envi-
ronment by industrial partners and benchmarked against today’s ICT solutions. In colla-
boration with universities a test-bed will be established for design and testing of ARUM
systems and tools and will be opened for dissemination and demonstration.