Question about JMP Theory (Formulation Example)

Alessandro21 — Fri, 19 Aug 2022 12:47:48 GMT

Dear SAS Community,

I have a question that may require a bit of DOE theoretical background. I am trying to optimize a formulation. Because of the industry that I am in, it is typical to express the entire formulation as a percentage of some base ingredient. For example, if the base ingredient is always 100 and other components are expressed as proportions of the the base ingredient, the formulation {x = 0.1, y = 0.2, z = 0.3} means 100 parts base ingredient, 10 parts x, 20 parts y, and 30 parts z. Inside JMP, I am only setting x, y, and z as factors (and not the base ingredient) to lower the number of experiments I need to run, and the base ingredient is always 100 in my experiments. In addition, for cost considerations, I am setting the linear constraint Ax + By + Cz <= L, where A, B, C, and L are the costs and limits. My question is, if I ideally want to fix x+y+z to be a particular fraction (and hence x+y+z divided by the total formulation mass would always be fixed in all my experiments), would I still need to set this x+y+z linear constraint, or would the Ax + By + Cz <= L constraint suffice, because after doing the experiments, obtaining the results, and inputting them inside JMP would lead me to the optimal formulation anyway?

Thanks.

Re: Question about JMP Theory (Formulation Example)

PaigeMiller — Fri, 19 Aug 2022 13:23:08 GMT

Probably best to ask in the JMP Communities

https://community.jmp.com/

topic Question about JMP Theory (Formulation Example) in New SAS User

Question about JMP Theory (Formulation Example)

Re: Question about JMP Theory (Formulation Example)