Article in Proceedings INPROC-2012-14

BibliographyGröger, 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 (ed.); Shen, Weiming (ed.); Barthčs, Jean-Paul (ed.); Luo, Junzhou (ed.); Yong, Jianming (ed.); Li, Wenfeng (ed.); Li, Weidong (ed.): Proceedings of the 2012 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), May 23-25, 2012, Wuhan, China.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 793-799, english.
IEEE, May 2012.
ISBN: 978-1-4673-1210-3.
Article in Proceedings (Conference Paper).
CR-SchemaH.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.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Entry dateMay 4, 2012
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