Presentation: Exploring Best Practices in Design of Experiments - JMP

More documents

Recommendations

Info

Robust Screening Design Properties 1. The number of required runs is only one more than twice the number of factors. 2. Unlike resolution III designs, main effects are completely independent of two-factor interactions. As a result, estimates of main effects are not biased by the presence of active two-factor interactions, regardless of whether the interactions are included in the model. 3. Unlike resolution IV designs, two-factor interactions are not completely confounded with other two-factor interactions, although they may be correlated. 4. Unlike resolution III, IV and V designs with added center points, all quadratic effects are estimable in models comprised of any number of linear and quadratic main effects terms. 5. Quadratic effects are orthogonal to main effects and not completely confounded (though correlated) with interaction effects. 6. With six or more factors, the designs are capable of estimating all possible full quadratic models involving three or fewer factors.
Robust Screening Design Structure
Page 1 and 2: Exploring Best Practices in Design
Page 3 and 4: What Is a Designed Experiment? a st
Page 5 and 6: What Is a Response? A response is a
Page 7 and 8: What is a model? a simplified mathe
Page 9 and 10: ANOVA and regression models are equ
Page 11 and 12: The Model/Design Relationship - Par
Page 13 and 14: The Model/Design Relationship - Ali
Page 15 and 16: Design Optimality Criteria D-optima
Page 17 and 18: Module 1 - Conclusions 1. Remember
Page 19 and 20: Optimal Full Factorial Full Factor
Page 21 and 22: Properties of this design • Ortho
Page 23 and 24: Optimal Fractional Factorial Fract
Page 25 and 26: The 2 5-1 • Aliases: - All main e
Page 27 and 28: Module 2 - Summary 1. Main message
Page 29 and 30: Standard Fractional Factorial Desig
Page 31 and 32: Plackett-Burman Designs • These a
Page 33 and 34: JMP Demo
Page 35 and 36: If only we could find a design with
Page 37: How do we get generate this design?
Page 40 and 41: JMP Demo
Page 43 and 44: What if we are not willing to give
Page 45: JMP Demo Alias Optimal Standard Fra
Page 50 and 51: Definitive Screening Designs for 4
Page 52 and 53: Alias Matrix
Page 54 and 55: Definitive Screening Coefficient Va
Page 56 and 57: Definitive Screening Stepwise Resul
Page 58 and 59: Explorers 2011 - Final Thoughts 1.

Presentation: Exploring Best Practices in Design of Experiments - JMP

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?