For the latest version of JMP Help, visit JMP.com/help.


Design of Experiments Guide > Mixture Designs > Overview of Mixture Designs
Publication date: 04/21/2023

Overview of Mixture Designs

You can choose from the following types of mixture designs:

Optimal

Generates an optimal mixture design using the Custom Design platform. See Example of Optimal Mixture Design.

Simplex Centroid

(Available for unconstrained factors or factors with lower bound constraints.) Generates a design of pure mixtures and blends of factors up to a specified degree. In a pure mixture, one component is at 100% and all other components are at 0%. See Example of Simplex Centroid Design.

Simplex Lattice

(Available for unconstrained factors or factors with lower bound constraints.) Generates a design of pure mixtures and blends in a space filling triangular grid of runs. You can specify the number of grid levels. See Example of Simplex Lattice Design.

Extreme Vertices

(Available when you have linear constraints or restricted upper or lower bounds on one or more of your factors.) Generates a design based on the vertices and combinations of the vertices of a constrained factor space. See Example of Extreme Vertices Design.

ABCD Design

Generates a screening design for mixtures devised by Snee (1975). See Example of an ABCD Design.

Space Filling

Generates a space filling design that accommodates linear constraints. See Example of a Space Filling Mixture Design.

Note: The optimal, extreme vertices, and space filling designs can incorporate linear constraints and restrictions on components.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).