allows you to work with a wide selection of traditional DOE
design types and provides an intuitive wizard that guides you
through the process of configuring the design for your
particular application. Supported design types include:
One Factor Designs,
also known as one-way ANOVAs, are used to determine whether a
particular factor has an effect on a specified output or
response.
Factorial Designs
help you to determine which factors have a significant effect on
the output or response and allow you to identify interactions
between factors.
Full Factorial
Designs
test all
possible combinations of factors at each level.
Available full factorial designs include:
Two Level Full
Factorial
General Full
Factorial
Fractional
Factorial Designs test a
subset of the possible combinations of factors at the
levels in question. Available fractional factorial
designs include:
Two Level
Fractional Factorial
Plackett-Burman
Taguchi
Orthogonal Array
Response Surface Method (RSM)
Designs allow you to study the quadratic effects of the
factors, making this design type well-suited to predictive
modeling and optimization. Available RSM designs include Central
Composite and Box-Behnken.
Taguchi Robust Designs
aim to minimize the variability of the response in spite of
noise factors by combining an inner array of control factors
with an outer array of noise factors.
