Predictive quality in plastic production
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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
Challenge

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.

Solution

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.

Impact
  • 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