Artikel in Tagungsband INPROC-2012-31

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).
CR-Klassif.H.2.7 (Database Administration)
J.1 (Administration Data Processing)
KeywordsData 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.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Eingabedatum24. Juli 2012
   Publ. Institut   Publ. Informatik