In this example, you find a compromise between an 8-run main effects only design (see Design That Estimates Main Effects Only) and a 22-run design capable of fitting all the two-factor interactions. You use Alias Optimality as the optimality criterion to achieve your goal.
1.
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Select DOE > Custom Design.
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2.
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Type 6 next to Add N Factors.
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3.
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Click Add Factor > Continuous.
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4.
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Click Continue.
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5.
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Select Optimality Criterion > Make Alias Optimal Design from the red triangle menu.
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The Make Alias Optimal Design selection tells JMP to generate a design that balances reduction in aliasing with D-efficiency. See Alias Optimality in Custom Designs.
6.
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Click User Specified and change the number of runs to 16.
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Note: Setting the Random Seed in step 7 and Number of Starts in step 8 reproduces the exact results shown in this example. In constructing a design on your own, these steps are not necessary.
7.
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(Optional) From the Custom Design red triangle menu, select Set Random Seed, type 1692819077, and click OK.
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8.
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(Optional) From the Custom Design red triangle menu, select Number of Starts, type 161, and click OK.
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9.
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Click Make Design.
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10.
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Open the Design Evaluation > Alias Matrix outline.
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11.
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Open the Design Evaluation > Color Map on Correlations outline.
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