Zusammenfassung
Intelligente Fertigung oder Industrie 4.0 ist ein Schlüsselkonzept, um die Produktivität und Qualität in industriellen Fertigungsunternehmen durch Automatisierung und datengetriebene Methoden zu erhöhen. Intelligente Fertigung nutzt Theorien cyber-physischer Systeme, dem Internet der Dinge sowie des Cloud-Computing. In dieser Abhandlung konzentrieren sich die Autoren auf Ontologie und (räumliche) Semantik, die als Technologie dienen, um semantische Kompatibilität der Fertigungsdaten sicherzustellen. Zusätzlich empfiehlt die Abhandlung, fertigungsrelevante Daten über die Einführung von Geografie und Semantik als Sortierformate zu strukturieren. Der in dieser Abhandlung verfolgte Ansatz sichert Fertigungsdaten verschiedener IT-Systeme in einer Graphdatenbank. Während des Datenintegrationsprozesses kommentiert das System systematisch die Daten – basierend auf einer Ontologie, die für diesen Zweck entwickelt wurde – und hängt räumliche Informationen an. Der in dieser Abhandlung vorgestellte Ansatz nutzt eine Analyse von Fertigungsdaten in Bezug auf Semantik und räumliche Abmessung. Die Methodologie wird auf zwei Anwendungsfälle für ein Halbleiterfertigungsunternehmen angewendet. Der erste Anwendungsfall behandelt die Datenanalyse zur Ereignisanalyse unter Verwendung von semantischen ˜hnlichkeiten. Der zweite Anwendungsfall unterstützt die Entscheidungsfindung in der Fertigungsumgebung durch die Identifizierung potentieller Engpässe bei der Halbleiterfertigungslinie.
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Schabus, S., Scholz, J. (2017). Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. In: Haber, P., Lampoltshammer, T., Mayr, M. (eds) Data Science – Analytics and Applications. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-19287-7_14
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