1.
Select Help > Sample Data Library and open Design Experiment/Reactor 32 Runs.jmp.
2.
Run the Screening script.
Figure 11.4 Contrasts Report for Reactor 32 Runs.jmp
Figure 11.5 Half Normal Plot for Reactor 32 Runs.jmp
In the Contrasts outline in Figure 11.4, the Individual p-Value for the three-way Concentration*Feed Rate*Stir Rate interaction is 0.0705 and its Simultaneous p-Value is 0.7592. Because the effect does not stand out on the Half Normal Plot and because its p-values are large, you decide not to include this effect in your model.
4.
Click Make Model to open a Fit Model window containing the five effects.
5.
Click Run.
1.
Return to the Reactor 32 Runs.jmp data table, or reopen it by selecting Help > Sample Data Library and opening Design Experiment/Reactor 32 Runs.jmp.
2.
Run the Model script.
3.
From the Select Columns list, select Feed Rate through Concentration.
4.
Click Macros > Full Factorial.
5.
Change the Personality to Stepwise.
6.
Click Run.
7.
Change the Stopping Rule to Minimum AICc.
8.
9.
Click Run Model.
This fits a model using the six effects. The Effect Summary outline indicates that Catalyst*Concentration is not significant at the 0.05 significance level as the p-value is 0.0896.
10.
Select Catalyst*Concentration in the Effect Summary outline and click Remove.
1.
In the Reactor 32 Runs.jmp data table, run the Reduced Model script.
2.
Click Run.
3.
Click the Prediction Profiler red triangle and select Optimization and Desirability > Maximize Desirability.
Figure 11.6 Prediction Profiler Showing Settings That Optimize Desirability
The predicted mean Percent Reacted at the settings that are shown is 95.875, with a confidence interval of 92.91 to 98.84. Note that, for all three factors, the settings that are identified are at the extremes of the ranges used in the experiment. In a future experiment, you should explore the process behavior beyond these settings.

Help created on 7/12/2018