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

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.