5.5.16.2.3.1 The Response Surface Design Dialog Box

1 Supporting Information
2 Design Selection
- 2.1 Response Surface Type
- 2.2 Display Available Designs
3 Factors
4 Setttings
- 4.1 For Central Composite
- 4.2 For Box-Behnken
5 Output
6 Dialog Theme

Supporting Information

To open the Response Surface Design dialog

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

Topics for Further Reading:

Introduction:Response Surface Design

Design Selection

Response Surface Type

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

Central Composite
Box-Behnken

Display Available Designs

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

Factors

Number of Continuous Factors	Specify the number of continuous factors you want to include in the design
Number of Categorical Factors	Specify the number of categorical factors you want to include in the design
Continuous Factors table	Displays and defines the properties of each continuous factor — typically including name, low level, high level — establishing the experimental range for the numeric variables.
Categorical Factors table	If you select at least 1 categorical factor, the table will be shown. Displays and defines the properties of each categorical factor—typically including name, number of levels, and level labels — establishing the discrete settings for the qualitative variables.

Setttings

For Central Composite

Design Selection Table	Displays available design configurations based on the specified factors, showing options such as full factorial, fractional factorial, or hybrid designs with their corresponding run counts and resolution properties.
Number of Replicates	Sets how many times the entire design (or each run) is repeated to improve precision and estimate pure experimental error
Customize Number of center points	Enables manual override of the default center point allocation, allowing control over how many center points are placed in specific blocks
Number of Center Points per Block	Available only when Customize Number of center points is selected Cube Block: Number of center points added to the factorial (cube) portion of the design. Axial Block: Number of center points added to the axial (star) point block.
Customize Value of Alpha	Enables manual specification of the axial point distance
Alpha	Available only when Customize Value of Alpha is selected The coded distance from the design center to each axial point, determining whether the design is rotatable, Spherical, face-centered or orthogonal, and even user-defined
Randomize Runs	Randomizes run order to eliminate bias from time trends or lurking variables.

For Box-Behnken

Number of Blocks	Divides the design into homogeneous groups to account for nuisance variables (e.g., different days, batches, or operators); Box-Behnken designs can often be arranged in orthogonal blocks to separate block effects from factor effects.
Number of Center Points per Block	Specifies how many center point runs are included in each block to test for curvature and provide a check on the consistency of response across blocks.
Number of Replicates	Sets how many times the entire design (or each run) is repeated to improve precision and estimate pure experimental error

Output

Design Table	Displays the complete experimental design matrix showing the factor level settings for each run
Coded Design	Shows the design matrix using coded units (-1 for low level, +1 for high level) rather than actual factor values. Useful for understanding the underlying structure and for standardized analysis.

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.