
processSupport
With processSupport, the production process is continuously monitored using a self-learning procedure.
Relevant anomalies in the process are detected at an early stage based on the machine data collected and proactively communicated to the user as anomaly notifications. The process parameters are evaluated completely autonomously and without prior configuration by the process owner. Within socialProduction, all machine parameters are available for visualization and analysis at any time.
- Detect process disruptions early and avoid machine downtime
- Identify deviations within the process before component quality suffers
- Active notifications in case of anomalies and faster problem detection
- Automated monitoring of all available process data without manual entry of tolerance limits