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DOE Limitation nombre composés par expériences

Bonjour, 

Je souhaiterais réaliser un plan d'expériences avec :

- 6 acides différents => Plan de mélange avec un colonne par acide

- Ratio Base 1 / Base 2 => Donnée catégorielle

Les acides seraient neutralisés de manière stœchiométrique avec une ou deux bases en fonction des essais. Seulement, je ne souhaite pas avoir un mélange des 6 acides dans les expériences car cela  rendrait mon produit trop complexe à analyser. Je souhaiterai plutôt avoir un mélange avec maximum 3 acides différents. Comment est-ce que je peux définir cela dans JMP Pro? Est-ce que je peux faire cela avec un plan de mélange classique ou je dois passer par des listes d'acides ? 

Merci par avance pour votre aide. 

1 ACCEPTED SOLUTION

Accepted Solutions
Victor_G
Super User

Re: DOE Limitation nombre composés par expériences

Hi @SquaresJackal10,

In a Mixture design, it's very easy to limit the number of factors involved in the experiments: the repartition of points is influenced by the model you assume in the Model panel. Using the Custom design platform, if your assumed mixture model contains only effects up to 3rd order, you'll have only runs with up to 3 components in your Mixture design.

For the last factor ratio base 1 / base 2, I would recommend either to use a numeric continuous factor, or a discrete numeric factor if you want to test specific ratio.

See previous answer and solution from Optimizing a Mixture of maximum 3 Ingredients, with 5 ingredients to be Evaluated. for more information.

Hope this answer will help you,

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

View solution in original post

1 REPLY 1
Victor_G
Super User

Re: DOE Limitation nombre composés par expériences

Hi @SquaresJackal10,

In a Mixture design, it's very easy to limit the number of factors involved in the experiments: the repartition of points is influenced by the model you assume in the Model panel. Using the Custom design platform, if your assumed mixture model contains only effects up to 3rd order, you'll have only runs with up to 3 components in your Mixture design.

For the last factor ratio base 1 / base 2, I would recommend either to use a numeric continuous factor, or a discrete numeric factor if you want to test specific ratio.

See previous answer and solution from Optimizing a Mixture of maximum 3 Ingredients, with 5 ingredients to be Evaluated. for more information.

Hope this answer will help you,

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

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