Artikel in Tagungsband INPROC-2012-14

Gröger, Christoph; Niedermann, Florian; Schwarz, Holger; Mitschang, Bernhard: Supporting Manufacturing Design by Analytics. Continuous Collaborative Process Improvement enabled by the Advanced Manufacturing Analytics Platform.
In: Gao, Liang (Hrsg); Shen, Weiming (Hrsg); Barthès, Jean-Paul (Hrsg); Luo, Junzhou (Hrsg); Yong, Jianming (Hrsg); Li, Wenfeng (Hrsg); Li, Weidong (Hrsg): Proceedings of the 2012 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), May 23-25, 2012, Wuhan, China.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 793-799, englisch.
IEEE, Mai 2012.
ISBN: 978-1-4673-1210-3.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.2.8 (Database Applications)
J.1 (Administration Data Processing)
KeywordsAnalytics; Data Mining; Process Management; Manufacturing; Process Optimization

The manufacturing industry is faced with global competition making efficient, effective and continuously improved manufacturing processes a critical success factor. Yet, media discontinuities, the use of isolated analysis methods on local data sets as well as missing means for sharing analysis results cause a collaborative gap in Manufacturing Process Management that prohibits continuous process improvement. To address this chal-lenge, this paper proposes the Advanced Manufacturing Analytics (AdMA) Platform that bridges the gap by integrating operational and process manufacturing data, defining a reposito-ry for analysis results and providing indication-based and pat-tern-based optimization techniques. Both the conceptual architec-ture underlying the platform as well as its current implementa-tion are presented in this paper.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Eingabedatum4. Mai 2012
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