E8: Advanced Design of Experiments (DOE)
Benefits:
- Strengthen and expand skills for designing experiments
- Develop expertise in designing and interpreting results from mixture (formulation) studies
- Evaluate the potential effectiveness of an experimental design before executing that design
- Creating robust designs involving minimum numbers of runs
- Understanding the creation of and limitations of computer-generated optimal experimental designs
Key Topics:
- Choosing appropriate experimental designs for specific situations
- Supersaturated designs
- Evaluating prediction uncertainty from a fitted model
- Prediction variance profiles for experimental designs
- Guidelines for selecting a response surface design
- Efficient robust designs
- Computer-generated optimal experimental designs
- Screening designs, response surface designs, and constrained designs for mixture experiments
- Analysis of results from mixture experiments
- Determining optimal formulations
Duration:
One (1) week
Prerequisite:
Experimental design experience at Six Sigma Black Belt level or equivalent
Who Should Attend:
• Individuals designing experiments and analyzing and interpreting the results from those experiments
• Mentors of Black Belts and Green Belts
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