Design of Experiments is required for all scientists, engineers and quality professionals who actively work on all aspects of discovery, product and process development where the goal is to characterize, optimize and improve product and process performance.
Select factors and responses for experiments
Design experiments appropriate for the information of interest.
Use and apply the structures of orthogonal arrays for product and process development and problem solving.
Ensure the experimental design is efficient.
Use regression techniques in order to analyze the results and make process/product improvements.
Use JMP software to design and analyze experiments.
Detailed Course Outline
Section I: Introduction to DOE
Section II: Experimental Preparation
Section III: Full Factorial Designs
Section IV: Screening Designs
Section V: Custom Designs
Generating custom designs
Evaluating custom designs
Analysis of custom designs
Simulation for full distribution modeling
Strategies to minimize experimental size
Adding covariate and uncontrolled factors
Life or repeated measures experiments
Disallowed combinations (nested DOEs)
Split Plot designs
Adding dummy variables
Mixtures in custom designs
Setting constraints in a DOE
Section VI: Response Surface Designs
Section VII: Special Topics In DOE (optional)
Strip plot designs
Next Schedule Date and Location:
Only offer at clients site
Price: $12,900 USD for up to 14 students/ Each Additional attendee will be charged a fee $450 USD