Hybrid Modeling and Intensified DoE Enabling Faster Process Development, Soft Sensors and Model Predictive Control

Within this talk the advantages of using intensified Design of experiments (iDoE) in combination with hybrid modeling will be demonstrated. In detailed upstream and downstream showcases the applied hybrid modeling structure significantly reduced the development times while simultaneously enabled the application of soft-sensors and digital twin to screen for ideal process conditions. While the downstream hybrid model could be used for different operation modes and simple model predictive control, the upstream iDoE approach reduced the experimental effort by 66%, significantly reducing development costs.

Learning Objectives:

1. Faster Drug Development by modeling along the whole value chain

2. Hybrid Modeling to strengthen bioprocess understanding

3. intensified Design of Experiments to speed up process characterization