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Enhancing flexibility of production systems by self-optimization

: Schmitt, R.; Wagels, C.; Isermann, M.; Mayer, M.


Stephanidis, C.:
HCI International 2011. Posters' extended abstracts. Pt.1 : International conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011; proceedings
Berlin: Springer, 2011 (Communications in computer and information science 173)
ISBN: 978-3-642-22097-5
ISBN: 3-642-22097-5
ISBN: 978-3-642-22098-2
ISSN: 1865-0929
International Conference on Human-Computer Interaction (HCI International) <14, 2011, Orlando/Fla.>
Conference Paper
Fraunhofer IPT ()

For establishing self-optimization in production technology, an extensive knowledge about the effects of process parameters on the product during the manufacturing processes is mandatory for the flexibility needed in complex production systems. In this regard, a controlling software that can autonomously detect this knowledge and use it for optimization is needed. Specific methods for the implementation of cognitive information processing are required. This paper focuses on the development of a self-optimizing controlling software architecture. In order to evaluate the optimization steps and simultaneously validate the rules used for it, an implementation for real production data of an automotive rear-axle-drive is described.