Predicting Product Quality as Early as Possible in the Production Process
Predicting Product Quality as Early as Possible in the Production Process Speaker: Dr. Gabriel Fricout, Arcelor Mittal Data mining processes have proven to be very valuable for addressing industrial issues such as understanding defect crisis. In classical data mining procedures, only “single value” variables are considered, meaning that one individual, in the steel industry typi- cally one coil, is characterized by average values of many process parameters (composition, temperature, speed, strengths, tractions, composition, etc.