Maximum performance for automated systems.
The production analysis correlates and visualizes all production and quality data from automated production systems. You receive a 360° view of the efficiency, availability and rejects of each station - the basis for well-founded and continuous improvement measures.
Don't confuse our intuitive dashboard with a simple evaluation of raw data. We have developed an intelligent process that records all status, sensor and process values for each station and each production step and assigns them to the product produced. This allows you to trace quality problems or cycle time deviations directly back to the cause and rectify them straight away.
In short: With the production analysis, you can achieve proven productivity increases that are often in the upper double-digit range!
Event and anomaly detection for complex production processes.
The production analysis is based on all process-related data available in the control system. The production analysis obtains all data at high frequency and in real time. From this, we create an event and activity model for the entire production process.
Recorded and derived data includes process parameters (e.g. leakage values), sensor data (such as force-displacement curves), product dimensions (e.g. component groups and materials) and process dimensions (e.g. workpiece carriers or tools).
The result: a second-by-second overview of current performance and rapid identification of quality problems!
Challenges addressed
Non-transparent throughput
Unclear cycle time fluctuations and reduced output at non-obvious times.
High reject and rework rates
No correlation between quality defects and process parameters.
Reactive problem solving
Quality and availability problems are only resolved when the line is up and running.
Measurable advantages
- Process experts and maintenance staff recognize the causes of errors more quickly and identify trends at an early stage.
- Full transparency from process parameters to OEE leads you to the most promising potential for improvement.
- A significant reduction in rework and rejects within the first few weeks.
- Identification of reject drivers, e.g. incorrect calibration of tools and workpiece carriers.
- Get your company ready for continuous and data-driven production improvement.