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DXQplant.analytics

DXQplant.analytics aims at improving the first-run-rate of a production system. In a first step, quality dashboards and reports show key performance indicators in order to improve transparency of the product quality status within a quality loop. Secondly, systematic quality problems are detected using smart pattern recognition. In future, systematic quality problems will be correlated to process anomalies derived by DXQequipment.analytics enabling a root-cause-analysis as well as early troubleshooting.

Functions:

Dashboarding for quality relevant plant KPIs
Smart pattern recognition for systematic quality defects
Visualization of product life cycle of affected workpieces
Indication of root-causes based on big data analytics and expert rules

Benefits:

Improved first-run-rate to increase the OEE
Structured overview of workpiece-related quality and process data
Support in finding correlations between quality defects and process causes
Domain knowledge linked with data analytics