Title :
Supporting manufacturing design by analytics, continuous collaborative process improvement enabled by the advanced manufacturing analytics platform
Author :
Gröger, Christoph ; Niedermann, Florian ; Schwarz, Holger ; Mitschang, Bernhard
Author_Institution :
Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart, Germany
Abstract :
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 challenge, this paper proposes the Advanced Manufacturing Analytics (AdMA) Platform that bridges the gap by integrating operational and process manufacturing data, defining a repository for analysis results and providing indication-based and pattern-based optimization techniques. Both the conceptual architecture underlying the platform as well as its current implementation are presented in this paper.
Keywords :
data mining; groupware; manufacturing industries; production engineering computing; AdMA; advanced manufacturing analytics platform; collaborative gap; continuous collaborative process improvement; data mining; global competition; isolated analysis methods; manufacturing design; manufacturing industry; manufacturing process management; pattern-based optimization techniques; Design automation; Job shop scheduling; Manufacturing processes; Processor scheduling; Analytics; Data Mining; Manufacturing; Process Management; Process Optimization;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
DOI :
10.1109/CSCWD.2012.6221911