Error and Downtime Analysis
  • Insights for smart actions and the basis for predictive maintenance and self-improving processes
  • Historical and actual data are collected, analyzed and visualized
  • Anomalies can be detected and optimally broken down to their root cause
  • This fast and convenient way to identify improvement potentials increases plant availability and efficiency sustainably
  • Information transparency by customized trends and benchmarking
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