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Design of Experiments (DOE) using JMP
December 10, 2024
9:00 am - 4:30 pm Your Timezone
DOE using JMP (1.0 days): This course focuses on how to establish a systematic approach to pharmaceutical development using design of experiments (DOE). All concepts are taught within the product quality system framework.
Design of Experiments (DOE) using JMP:
- identify critical quality attributes (CQAs) that will be used as responses in your designs
- utilize risk management tools to identify and prioritize potential critical process parameters
- identify critical process parameters and develop a functional relationship between those process
parameters and your critical-to-quality attributes (CQAs) using both screening and response surface
designs - be able to design and analyze screening designs including a factorial, fractional factorial, and D-optimal
design - understand the need for adding center points to a design
- be able to design and analyze response surface designs including central composite designs (CCDs),
Box-Behnken designs, and I-optimal designs - be able to design and analyze definitive screening designs
- present results of DOE studies
Outline:
- Introduction to Design of Experiments (DOE)
- steps to DOE
- defining critical-to-quality attributes (CQAs)
- identifying and prioritizing potential process parameters
- Screening Designs – Identifying Critical Process Parameters
- factorial designs
- fractional factorial designs
- D-optimal designs
- Response Surface Designs – Develop Functional Relationships and Establish Design Space
- Central Composite Designs (CCDs)
- Box-Behnken designs (Self Study)
- I-optimal designs