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Diagnose von Inkonsistenzen in heterogenen Engineeringdaten

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Handbuch Industrie 4.0 Bd.2

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Zusammenfassung

Industrie 4.0 bedeutet mehr Komplexitat – nicht zuletzt auch während des Engineerings automatisierter Produktionssysteme. Essenziell für den Erfolg von Industrie 4.0-Entwicklungsprojekten ist, dass Fehler während der Entwicklung frühzeitig erkannt und behoben werden. Solche Fehler manifestieren sich in vielen Fällen durch Inkonsistenzen in den Engineeringdaten, die oftmals sehr heterogener Natur sind. Zur Adressierung dieser Problematik analysiert dieses Kapitel die Herausforderung des Managements (d. h. der Erkennung und Behebung) von Inkonsistenzen in heterogenen Engineeringdaten und stellt einen Ansatz zur Diagnose von Inkonsistenzen vor.

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Danksagung

Die Autoren danken der Deutschen Forschungsgemeinschaft (DFG) für die Förderung dieser Arbeit als Teil des Sonderforschungsbereichs 768: Zyklenmanagement von Innovationsprozessen – verzahnte Entwicklung von Leistungsbündeln auf Basis technischer Produkte (SFB 768). Des Weiteren danken die Autoren Christiaan J.J. Paredis, Sebastian J.I. Herzig und Ahsan Qamar (Georgia Institute of Technology) für ihre Unterstützung und fruchtbaren Diskussionen.

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Authors and Affiliations

  1. Lehrstuhl für Automatisierung und Informationssysteme, Technische Universität München, Boltzmannstr. 15, 85748, Garching, Deutschland

    Stefan Feldmann & Birgit Vogel-Heuser

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  1. Stefan Feldmann
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  2. Birgit Vogel-Heuser
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Correspondence to Stefan Feldmann .

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Editors and Affiliations

  1. Maschinenwesen, AIS, Technische Universität München Maschinenwesen, AIS, Garching, Germany

    Birgit Vogel-Heuser

  2. Universität Stuttgart, Germany

    Thomas Bauernhansl

  3. Technische Universität Dortmund, Germany

    Michael ten Hompel

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Feldmann, S., Vogel-Heuser, B. (2017). Diagnose von Inkonsistenzen in heterogenen Engineeringdaten. In: Vogel-Heuser, B., Bauernhansl, T., ten Hompel, M. (eds) Handbuch Industrie 4.0 Bd.2. Springer Reference Technik (). Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53248-5_91

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  • DOI: https://doi.org/10.1007/978-3-662-53248-5_91

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53247-8

  • Online ISBN: 978-3-662-53248-5

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