Scaling up processes with Design of Experiments
Published at : November 26, 2021
It is not practical to conduct experiments at manufacturing scale. Small scale runs are essential for finding the perfect settings and trialing alternative process conditions.
Comparing scales to qualify the smaller reactor is crucial. Design of Experiments (DoE) is an extremely useful approach to check how the process behaves throughout the scale range, and can be combined with other techniques to provide a complete picture.
In this webinar, we will show how Fujifilm Diosynth Biotechnologies uses the DoE and Analyse platforms in JMP to demonstrate how small scale models can be used to predict large scale results.
Join us to learn how you can, with DoE and equivalence testing:
• Create improved scale up understanding
• Do a lot more with a little data by designing experiments
• Convey scale up understanding to the wider organisation
Comparing scales to qualify the smaller reactor is crucial. Design of Experiments (DoE) is an extremely useful approach to check how the process behaves throughout the scale range, and can be combined with other techniques to provide a complete picture.
In this webinar, we will show how Fujifilm Diosynth Biotechnologies uses the DoE and Analyse platforms in JMP to demonstrate how small scale models can be used to predict large scale results.
Join us to learn how you can, with DoE and equivalence testing:
• Create improved scale up understanding
• Do a lot more with a little data by designing experiments
• Convey scale up understanding to the wider organisation
ScalingprocessesDesign