Author :
Thombansen, U. ; Schuettler, J. ; Auerbach, T. ; Beckers, Markus ; Buchholz, G. ; Eppelt, U. ; Gloy, Y. ; Fritz, P. ; Kratz, Sascha ; Lose, J. ; Molitor, T. ; Ressmann, A. ; Schreiber, Andreas ; Veselovac, D. ; Willms, K. ; Gries, Thomas ; Michaeli, W. ;
Abstract :
This paper describes an approach to self-optimization for manufacturing systems that addresses the plan - value orientation of the polylemma of production for high wage countries. The scope of the work comprises research on cognition for technical systems as well as transfer of process knowledge into machine readable form oriented towards product quality. Based on a meta-model approach, specialized processing of data from several information sources allows determination of the operating point and optimization potential considering the operating domain. Consequently, information-processing sensor actuator systems are implemented that adapt to optimized internal objectives and the current process status to ensure meeting of predefined external objectives.
Keywords :
actuators; knowledge management; manufacturing systems; sensors; information-processing sensor actuator systems; manufacturing processes; manufacturing systems; meta-model approach; model-based self-optimization; process knowledge transfer; product quality; technical systems; Actuators; Computational modeling; Current measurement; Manufacturing processes; Measurement by laser beam; Process control; cognition; information-processing sensor actuator systems; manufacturing systems; meta-model; self-optimization;
