DocumentCode :
1725147
Title :
Sampling process information from unstructured data
Author :
Popp, J. ; Ortloff, D. ; Schmidt, T. ; Hahn, K. ; Mielke, M. ; Brück, R.
Author_Institution :
Process Relations GmbH, Dortmund, Germany
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
Process Data Management and information governance are important tasks in product engineering. Formal process descriptions, quick access to technology data, check for consistent process flows, and the easy reuse of technology data are the main drivers of these developments. This paper introduces new methods for systematically collecting and storing technology data preserving the multidimensional context in which it had been created. Furthermore new methods and tools are introduced reconstructing the context of historical data, therefore creating information from the “heap”.
Keywords :
management information systems; nanoelectromechanical devices; process design; production engineering computing; information creation; information governance; process data management; process design tools; process flow consistency; process information sampling; product engineering; technology data collection; technology data reuse; technology data storage; unstructured data; Context; Data visualization; Documentation; Loading; Manufacturing processes; Materials; Process development execution system; process data management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2011 22nd Annual IEEE/SEMI
Conference_Location :
Saratoga Springs, NY
ISSN :
1078-8743
Print_ISBN :
978-1-61284-408-4
Electronic_ISBN :
1078-8743
Type :
conf
DOI :
10.1109/ASMC.2011.5898184
Filename :
5898184
Link To Document :
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