|Bibliography||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 (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.
Article in Proceedings (Conference Paper).
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.