Full Factorial Design Example. The number of trials required for a full factorial experimental run is the product of the levels of each factor. Please see Full Factorial Design of experiment hand-out from training.
This paper discusses how to design an effective full factorial design and describes when it is appropriate to use. The experimenters use DOE to create a general full factorial design. As the number of factors in a 2-level factorial design increases the number of runs necessary to do a full factorial design increases quickly.
Number of observations 32 a complete 25factorial design Response Variable Y Mean over 15 reps of Ceramic Strength.
Graphically we can represent the 2 3 design by the cube shown in Figure 31. The experimenters use DOE to create a general full factorial design. Slow 05 mm and fast 125 mm. However the full factorial design does have a number of properties that make it very powerful.
