WHEN DO YOU USE A FACTORIAL DESIGN?
Factorial designs are good preliminary experiments. This article will help you to understand when and how we can use the Factorial Design in DOE

WHEN DO YOU USE A FACTORIAL DESIGN?
Factorial designs are good preliminary experiments
A type of factorial design, known as the fractional factorial design, are often used to find the “vital few” significant factors out of a large group of potential factors.
This is also known as a screening experiment
¢Also used to determine curvature of the response surface
FULL FACTORIAL DESIGNS
Every combination of factor levels (i.e., every possible treatment) is measured.
2k design = k factors, each with 2 levels, 2k total runs
33 design = 3 factors, each with 3 levels, 33 = 27 total runs
Every factor effect can be estimated
Can include centre points, but not necessary
2k designs are the most popular
High Level (+1) and Low Level (-1)
Example: 22 design = 4 runs
Run Factor A Level Factor B Level
1 -1 -1
2 -1 +1
3 +1 -1
4 +1 +1
FULL FACTORIAL DESIGNS
Full factorials can also allow factors to have different number of levels
213241 = 4 factors total (sum of exponents) One factor has 2 levels, two have 3 levels, one has 4 levels Total of 2*3*3*4 = 72 runs
Ex. 2131 design = 6 runs
Run Factor A Level Factor B Level
1 1 1
2 1 2
3 1 3
4 2 1
5 2 2
6 2 3
For previous DOE Definition you can click
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