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Cognitive self-optimization in industrial assembly

: Permin, Eike; Hoffmann, Max; Bertelsmeier, Felix; Haag, Sebastian; Detert, Tim; Schmitt, Robert

Wulfsberg, J.P.:
Progress in Production Engineering : Selected, peer reviewed papers from the 2015 WGP Congress, September 7-8, 2015, Hamburg, Germany
Dürnten: Trans Tech Publications, 2015 (Applied mechanics and materials 794)
ISBN: 978-3-03835-616-5 (Print)
ISBN: 978-3-03859-410-9 (CD-ROM)
ISBN: 978-3-0357-0095-4 (eBook)
Wissenschaftliche Gesellschaft für Produktionstechnik (WGP Congress) <5, 2015, Hamburg>
Fraunhofer IPT ()

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.