Holistic production analysis for actuator manufacturing using data mining

Sand C, Bogus K, Kunz S, Franke J (2016)

Publication Type: Conference contribution

Publication year: 2016

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 301-305

Conference Proceedings Title: 2016 6th International Electric Drives Production Conference, EDPC 2016 - Proceedings

Event location: Nuremberg, DEU

ISBN: 9781509029082

DOI: 10.1109/EDPC.2016.7851346

Abstract

Holistic production optimizations within large-scale productions are not yet used because classic methods like Six Sigma or DoE are less expedient when it comes to huge or more complex data sets. Thus no standardized analysis for integrated production optimization exists, to realize 0 ppm defects. This paper introduces a holistic analytics approach using data mining techniques to reduce the error and scrap rate, addressing experts and non-specialized workers.

Authors with CRIS profile

Christian Sand Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Sand, C., Bogus, K., Kunz, S., & Franke, J. (2016). Holistic production analysis for actuator manufacturing using data mining. In 2016 6th International Electric Drives Production Conference, EDPC 2016 - Proceedings (pp. 301-305). Nuremberg, DEU: Institute of Electrical and Electronics Engineers Inc..

MLA:

Sand, Christian, et al. "Holistic production analysis for actuator manufacturing using data mining." Proceedings of the 6th International Electric Drives Production Conference, EDPC 2016, Nuremberg, DEU Institute of Electrical and Electronics Engineers Inc., 2016. 301-305.

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