Bibliograph. Daten | Gröger, Christoph; Schlaudraff, Johannes; Niedermann, Florian; Mitschang, Bernhard: Warehousing Manufacturing Data. A Holistic Process Warehouse for Advanced Manufacturing Analytics. In: Cuzzocrea, Alfredo (Hrsg); Dayal, Umeshwar (Hrsg): Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery - DaWaK 2012. Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. Lecture Notes in Computer Science; 7448, S. 142-155, englisch. Berlin, Heidelberg: Springer, September 2012. Artikel in Tagungsband (Konferenz-Beitrag).
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CR-Klassif. | H.2.7 (Database Administration) J.1 (Administration Data Processing)
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Keywords | Data Warehouse; Manufacturing; Process Optimization; Analytics; Business Intelligence; Data Integration |
Kurzfassung | Strong competition in the manufacturing industry makes efficient and effective manufacturing processes a critical success factor. However, existing warehousing and analytics approaches in manufacturing are coined by substantial shortcomings, significantly preventing comprehensive process improvement. Especially, they miss a holistic data base integrating operational and process data, e. g., from Manufacturing Execution and Enterprise Resource Planning systems. To address this challenge, we introduce the Manufacturing Warehouse, a concept for a holistic manufacturing-specific process warehouse as central part of the overall Advanced Manufacturing Analytics Platform. We define a manufacturing process meta model and deduce a universal warehouse model. In addition, we develop a procedure for its instantiation and the integration of concrete source data. Finally, we describe a first proof of concept based on a prototypical implementation.
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Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
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Eingabedatum | 24. Juli 2012 |
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