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Master data extraction and adaptation based on collected production data in manufacturing execution systems

 
: Dimitrov, T.; Baumann, M.; Schenk, M.

:
Fulltext urn:nbn:de:0011-n-1375250 (231 KByte PDF)
MD5 Fingerprint: 478553ad02ced01096fa2642d6f4c436
Created on: 13.8.2010


Univ. of Naples; International Academy for Production Engineering -CIRP-, Paris:
CIRP ICME 2010, 7th CIRP International Conference on Intelligent Computation in Manufacturing Engineering. Innovative and Cognitive Production Technology and Systems : 23 - 25 June 2010, Capri (Gulf of Naples), Italy
Capri, 2010
4 pp.
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <7, 2010, Capri>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
MES; data mining; manufacturing master data; production data; automated extraction; adaptation

Abstract
This paper presents an approach to extraction and correction of manufacturing master data, needed by Manufacturing Execution Systems (MES) to control and schedule the production. The implementation of the created schedule and the improvement of Key Performance Indicators depends strongly on the quality of the master data. The master data of most enterprises ages or the enterprises cannot fully provide it, because a highly manual expense for statistical analysis and administration is needed. The presented approach uses the gathered information from Production Data Acquisition and Enterprise Resource Planning (ERP) to build the missing aspects of master data or to correct the existing one. After the correction of typical aspects like process dependencies, durations or changeover times a significant increase of schedule implementation is noticed.

: http://publica.fraunhofer.de/documents/N-137525.html