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Prioritisation of influence variables for a flexible and efficient production

Priorisierung von Einflussgrößen für eine flexible und effiziente Produktion
 
: Berger, Simon; Schmid, Martin; Reinhart, Gunther

:

Zaeh, Michael:
Enabling Manufacturing Competitiveness and Economic Sustainability : Proceedings of the 5th International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2013), Munich, Germany, October 6th-9th, 2013
Cham: Springer International Publishing, 2014
ISBN: 978-3-319-02053-2 (Print)
ISBN: 978-3-319-02054-9 (Online)
S.359-363
International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV) <5, 2013, Munich>
Englisch
Konferenzbeitrag
Fraunhofer IWU ()
process control; knowledge based optimization; influence; disturbance

Abstract
Influence variables can have a huge impact on the process and machine's behaviour during the production process and as a result on the product quality. Although process knowledge, methods for data base and regression analyses are available, it is still difficult to identify all relevant parameters and find their effect on the process.
The method, described in this paper, shows how all relevant parameters can be found by using a holistic approach. Through filtering, the total number of variables can be diminished as far as possible. For each variable a description about its impact on the process is designed and based on this, different actions can be derived to compensate or minimize the influences.

: http://publica.fraunhofer.de/dokumente/N-264972.html