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Model development

Process modeling is used to transform data into valuable process information

1. Understand the contribution of the significant predictors to the KPI

2. Simulate process variability

3. Estimate the process capability

4. Seek robust solutions

5. Search for the largest acceptable range of the raw materials properties

Validate models

Model validation is a vital step to ensure reliable predictions

1. Early validation throughout data collection

2. Offline validation based on fresh data or from data splitting

3. Online validation to trigger the maintenance of the model

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