Cognitive Self-Optimization in Industrial Assembly
Modern day production has to overcome a polylemma – the gaps between economies of scale and scope as well as between economies of plan and value. Due to shorter product lifecycles and a rising demand of customization, flexibility and adaptability of assembly processes will become key elements for a sustainable success of industrial production in high-wage countries. Self-optimization as presented in this paper has been identified as one major contributor to the enhancement of this flexibility and adaptability. After a short introduction of the historical background, the specifics of the application of self-optimization to assembly are discussed using its meta model. In the end, two application examples are presented to illustrate its industrial deployment.
Jens P. Wulfsberg, Benny Röhlig and Tobias Montag
E. Permin et al., "Cognitive Self-Optimization in Industrial Assembly", Applied Mechanics and Materials, Vol. 794, pp. 35-42, 2015