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Optimal Designs

Hello, can JMP also create and evaluate optimal designs? D, E, I designs, etc.?

Which optimal design is suitable as a screening design?

How many runs makes sense?

Can this be expanded and then used for a more complex evaluation?

What optimal design is recommended for the more complex evaluation?

What number of runs makes sense then?

Thanks.

Tommy7571

Design of ExperimentsRe: Optimale Designs

Hello,

Can a definitive screening design (DSD) be converted into an A-optimal design? If so, can this be useful?

I tried adding factorial points to a DSD, but when converting to an optimal design, the runs with zero were removed.

Greetings

Tommy7571

Re: Optimale Designs

Hi @Thommy7571,

 

The construction of Definitive Screening Designs and Optimal designs are very different :

• The construction of Definitive Screening Design relies on the use of pre-determined conference matrices (Xiao et al., 2012) : Structure of Definitive Screening Designs
• The construction of Optimal design relies on algorithmic iterative refinement : starting from a set of random points in the defined experimental space, the coordinate-exchange algorithm replace some factors values of the points in order to optimize the optimality criterion chosen : Coordinate-Exchange Algorithm
  And a visualization/complementary explanation here : https://www.linkedin.com/posts/victorguiller_designofexperiments-optimaldesigns-activity-7163071856332234752-z0wb

So I'm not sure what you imply with "converting" a design type into another, but you can augment a DSD (or any other design) into an A-Optimal design.
Once again, the augmentation choices are different and rely on different techniques :

• Algorithmic computations for "Space-Filling" and "Augment" (optimal design augmentation) types
• Pre-determined and specific points for "Replicate", "Add Centerpoints", "Fold Over" and "Add Axial",
  
  so you can indeed expect different augmented points proposals betwwen these augmentation techniques.

 

Hope this answer will help you,