Box-Behnken Design (CCD)
The goal in Design of Experiments is to determine the smallest sufficient set of points required to calculate a response surface. Therefore, you choose the type depending on the parametric problem and targeted response surface. The number of points depends on the number of input parameters, or is user-defined.
A Box-Behnken Design is a three-level quadratic design that does not contain fractional factorial design. The sample combinations are treated in such a way that they are located at midpoints of edges formed by any two factors. The design is rotatable (or in cases, nearly rotatable).
One advantage of a Box-Behnken design is that it requires fewer design points than a full factorial CCD and generally requires fewer design points than a fractional factorial CCD. Additionally, a Box-Behnken Design avoids extremes, allowing you to work around extreme factor combinations. Consider using the Box-Behnken Design DOE type if your project has parametric extremes (for example, has extreme parameter values in corners that are difficult to build). Because the Box-Behnken DOE doesn’t have corners and does not combine parametric extremes, it can reduce the risk of update failures.
Possible disadvantages of a Box-Behnken design are
- Prediction at the corners of the design space is poor, and there are only three levels per parameter.
- A maximum of twelve input parameters is supported.
No additional properties are available for the Box-Behnken Design DOE type.