2.43.2.4.1 The Mixture Design Dialog Box

Supporting Information

To open the Mixture Design dialog

• Select Statistics: Quality Improvement: Design of Experiment from the Origin menu
• Select the Create Design icon and choose Mixture Design from the list

  

Design Selection

Type of Design

Select a response surface type from the list below. Refer to the introduction and comparison for which type should be used for your design

• Simplex Centroid
• Simplex Lattice
• Extreme Vertices

Display Available Designs

Click the button for information to select an appropriate design. The table shows the number of factors and runs

Components

Total Amount	Select whether the mixture formulations in your experiment use one fixed total quantity or vary across runs. Choose Single Total for standard mixture designs where only component proportions matter. Choose Multiple Total when the overall scale of the mixture is an additional experimental factor. Single Total All experimental runs share the same total amount. Multiple Totals Runs use two or more different total amounts.
Number of Components	The count of ingredients or factors in the mixture.
Number of Levels per Component	Available only for Simplex Lattice design The distinct proportions tested for each component. Higher levels increase design resolution but also the number of runs.
Component Table	Displays and defines each mixture ingredient and its quantitative bounds. Name Low High

Process Variables

Number of Process Variables	The count of process factors to include in the experiment. Enter 0 if the experiment contains only mixture components.
Type of Design	Select the structure for the process variable portion of the experiment. Provides fractional and full factorial design
Fraction Number	Defines the fraction of the full factorial to run. Lower fractions reduce runs but increase confounding among effects.
Process Variable Table	Displays and defines each process variable and its settings Name Type Low High

Settings

Number of Replicates	Select the number of replicates. Replicates are multiple runs with the same factor settings. One replicate runs each combination once; two replicates run each combination twice Adding replicates can increase the statistical power to detect effects but also increase total runs and resource cost.
Randomize Runs	Randomize the order of all experimental runs. This distributes nuisance factors
Random Seed	Enter a non-negative integer to control the random number generator

Output

Design Table	The design table shows the factor settings for each experimental run in the design

Dialog Theme

Save and load the settings of the dialog. Use this to store frequently used factor configurations, design options, or output preferences, then recall them for future designs without re-entering all values.