
Predictive quality in plastic production
Time series data from the extruders and laboratory data in one model: deviations are detected early, before scrap occurs.
- Customer
- Feddersen
- Industry
- Kunststoff / Prozessindustrie
- Project duration
- Enterprise project
Huge amounts of data are generated in plastics production - from sensors along the production line to results from the quality laboratory. Quality assurance relied heavily on manual sampling and downstream laboratory testing. Deviations only became apparent with a delay, which led to material losses and made process optimization more difficult.
Based on the machine time series and laboratory data, we have developed a predictive quality module that detects anomalies and deviations in real time. The company can readjust or cancel processes at an early stage and thus guarantee products that conform to specifications - quality assurance goes from reactive to proactive.
- Reduction of scrap and rework
- Increasing the production efficiency of the extruders
- Schnellere Ursachenanalyse (Root Cause Analysis)
- Early detection of machine and process problems
- Reducing quality inspection costs with better consistency
Deliverables
proaktiv
Quality control
reduziert
Ausschuss
Sensorik + Labor
Datenbasis
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