I've found my optimum categorical level; how do I drop the rest during design augmentation?

Brian_Pimentel — Thu, 08 Jun 2023 21:14:16 GMT

Let's say I've designed my initial main effect screening experiment, where one of the factors is a 3-level categorical (A, B, C).

After the first set of experiments, I'm fairly certain that level B is my process optimum decision and want to augment the design to get two-factor interactions, etc. How do I restrict the design augmentation to only explore the B level? Using "Hide and Exclude" leads to a big loss of information for the other factors, which I'd like to avoid.

Thanks!

Re: I've found my optimum categorical level; how do I drop the rest during design augmentation?

Victor_G — Tue, 11 Apr 2023 08:13:49 GMT

Hi @Brian_Pimentel,

Welcome in the Community !

May I ask you more details about the goal of your study (optimization/prediction, explanation, both ? ...), the number of factors, the number of runs, design and results you already have ?

It looks like you're doing a DoE to "pick a winner", for example to choose the best level in the 3-levels categorical factor. But is this factor significant in the analysis of main effects ?

If yes, I would highly recommend to augment your design, keep using this categorical factor and look at 2-factors interactions. You may have some significant interactions between this categorical factor and other factors, so level B may not be always the optimal choice in presence of interactions.
If no, you may simply augment your design (in menu "DoE", "Augment Design") without using this factor in the augmentation panel. As an example, I used the JMP dataset "Algorithm Data" and augment the design on all factors except the 3-levels categorical factor "Algorithm" :

Algorithm won't be a factor anymore in my design, so I can simply set the level of this factor and enter the level chosen in the corresponding column.

No matter how you're doing the augmentation (with or without the 3-levels categorical factor), I would also recommend to check the option "Group new runs into separate block". More info about the "Augment Design" platform is available here : Augment Designs (jmp.com)

I hope this answer will help you,

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I've found my optimum categorical level; how do I drop the rest during design augmentation?

Re: I've found my optimum categorical level; how do I drop the rest during design augmentation?