For the beginner, part 1 (6) – Design of experiments (DOE)
MKS Data Analytics Solutions invites to a webinar on the UmetricsTM Suite and DOE using MODDE 11
Get it right from the start! As anyone in product development knows, getting things right from the start is a challenge. Especially with many parameters to take into account. For industries like Pharma where outcomes are critical and the competition is fierce, you need tools that you can be sure will get you to the market on time; design of experiments (DOE) is indispensable in this context.
How do I maximize the information content in my data? Sign-up for this webinar and discover what DOE is and what makes it so useful. Learn about the fundamental uses of DOE (screening, optimization and robustness testing) and how these applications can generate value from your data. Follow a demo on the MODDE software showing the essential steps for design generation, model building, model tuning, and decision making from response contour plots.
Topics for this webinar
- An introduction to MODDE 11
- The basics of DOE
- The three main experimental objectives, screening, optimization and robustness testing
- Model building, model tuning and model predictions
- The interlinking of DOE and QBD
Click here to watch the recorded webinar