DOE Full Factorial Design

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This guide provides instructions on designing a full factorial experiment. A full factorial experiment in where every possible treatment combination will be studied. For analysis of full factorial experiments, see the DOE Full Factorial Analysis guide.

Create the Design (Full Factorial Design)

1. Open the platform under DOE > Classical > Full Factorial Design.
2. Specify the Response(s):

• Double-click on Y, under Response Name, to name the response. 
• If needed, change the response Goal and Upper and Lower Limits.
• Click Add Response to add additional responses.

3. Specify the Factors: 

• Click Continuous or Categorical, then the number of levels to add a factor. Click Remove to remove a factor.
• Double-click to change the factor name.
• Tab to change the values for the factor.
• Repeat for all factors.  

4. Click Continue.
5. Specify the Run Order (default is Randomize), the Number of Center Points and the Number of Replicates (the number of additional sets of runs for each design point). Here, we have specified an unreplicated fully randomized 2³ full factorial design with 3 center points, totaling 8 + 3 = 11 runs.

6. Select Make Table to generate the design (or Back to make changes). In the design table:

• The Pattern column provides a key to the factor levels for each trial.
• The factor settings are indicated in the columns for each factor.
• The response for each trial will be recorded in the last column (here, Percent Reacted).
• The Model script will be saved to the data table and the design specification window stays open to change or regenerate the design.
  
  

Notes:

• Select Evaluate Design to view properties of the design.
• The Easy DOE platform (under DOE menu) provides a guided workflow to step through the process of creating and analyzing experiments and is an alternative to the steps above for creating a design.
• Full factorial designs can also be generated from the Custom Design platform.

To create a 23 full factorial design with one run at each of the 8 corner points and 3 runs at the center point.

Visit Design of Experiments Guide in JMP Help to learn more.