Increase in OEE through optimization of operational parameters. Achieved OEE improvement of approximately ~15%.
Thanks to detailed diagnostics and data correlation, the percentage of defective products can be reduced. Achieved scrap reduction of around ~10%.
Savings from higher efficiency and reduced losses significantly exceed the initial costs of implementing the system.
Explore large volumes of data, identify trends, correlations, and anomalies without the need for advanced data science expertise.
The platform helps identify critical bottlenecks in the production flow and provides tools to uncover the root causes of losses.
RTM Pro includes advanced analytics tools leveraging artificial intelligence and machine learning for real-time analysis.
Designed to be used without requiring knowledge of data science or statistics.
Thanks to detailed performance monitoring and early detection of issues (“early losses”), it enables rapid achievement of stable productivity and target OEE even during operational changes.
The platform integrates information from production, maintenance, and quality into a single environment, creating a complete view of manufacturing.
Data analysis and corrective actions led to a significant reduction in scrap.
Launch management support aimed at reaching >70% OEE within a few months from SOP.
Increase of line output by ~28% within 6 weeks and reduction of scrap by ~40%.
