ICD D-1: The Ontology and Design Methodology for Cognition Enhanced, Self-optimising Production Systems

Self-optimising Production Systems provide pathways for the creation of new production and assembly systems by constantly analysing and evaluating both, active technological and organisational areas, as well as by undertaking necessary system alterations autonomously.

The essential step towards self-optimising production systems is the application of cognitive control mechanisms. The CoE’s research on such cognitive production systems will build upon the Structure, Operator and Result (SOAR) architecture of human cognition69. One of the scientific key issues lies in the application of the SOAR element “decision context” that links perception and knowledge in order to decide on actions. The Research Area D.1 therefore aims at developing design methodologies for self-optimised production based on Cognitive Control Units that refer, for instance, to single machine controllers as well as to the organisational setup. The midterm goal of D.1 is to investigate the underlying mechanism of production-related object-to-object system transparency, which is the basic enabler for high resolution supply chains.
Another prerequisite for cognition-enhanced decision making is the development of holistic ontology-based semantic models for cause-effect-chains. Using the semantic broadens the
solution horizon for production systems by active tolerance matching. This self-optimising approach will be enhanced by quality prediction to forecast the feature conformity at every process step. To overcome the restrictions of classical intuition based decisions and to broaden the solution space a diagnostic assistant based on contra-intuitive coherences will be developed. The research conducted in D.1 will thus lead to the visionary objective of Cognitive Production Systems.




Coordinator
Dr.-Ing. Reinhard Freudenberg
Laboratorium für Werkzeugmaschinen und Betriebslehre (WZL)
Fertigungsmesstechnik und Qualitätsmanagement
Steinbachstraße 19, D-52074 Aachen
Phone: +49 (0)241 80-27614 Fax: +49 (0)241 80-22193
E-Mail: R.Freudenberg@wzl.rwth-aachen.de

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