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Design of Experiments (DoE)

Screening design

You have many possible factors and little knowledge.

Full factorial design

You have only a few factors and want the full picture.

Optimization design

You already know the important factors and want to optimize.

Robust design

You already know the important factors and want stable settings that are less sensitive to noise.

Mixture design

Your factors are ingredients or proportions.

Optimal design

You have constraints or no standard design fits your situation.

Factors

No. of Factors:
No. of Replicates:
No. of Blocks:
No. of Center Points:
Factor Low High

Plan


Run Order Factor A Factor B
1-1-1
2-11
31-1
411

How-to

Mixture Design Calculator

Here you can create a Mixture Design online. Simply choose one of the following design types—simplex‐centroid, simplex‐lattice, or extreme‐vertices—and enter your parameters.

Mixture Design Calculator

Mixture Design

Mixture design is a statistical approach used to study how different proportions of ingredients (components) affect a response or outcome. It helps identify optimal blends by systematically varying component ratios.

Unlike full factorial designs or fractional factorial designs, where each factor (ingredient) can be varied independently across levels, mixture designs impose the constraint that all component proportions must sum to a constant (typically 100 % or 1).

Simplex-Centroid Calculator

In a simplex-centroid design, experiments are run at all vertices and the centroid of the mixture space. It’s ideal when interactions between components are expected to be significant.

Simplex-Lattice Calculator

A simplex-lattice design places experimental points at regular intervals (lattice points) within the simplex. It provides more resolution across the mixture space for detailed modeling.

Extreme-Vertices Calculator

Extreme-vertices designs focus on corner and edge points of the constrained region defined by component bounds. They are useful when some components have strict minimum or maximum proportions.

For a custom experiment with specific candidate levels or forbidden combinations, you can also create a D-optimal design or compare criteria in the custom optimal design calculator.

Cite numiqo: numiqo Team (2026). numiqo: Online Statistics Calculator. numiqo e.U. Graz, Austria. URL https://numiqo.com

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