1.
Select DOE > Custom Design.
2.
Double-click Y under Response Name and type Strength.
Note that the default Goal is Maximize. Your goal is to find factor settings that enable you to brew coffee with a target strength of 1.3, within limits of 1.2 and 1.4.
3.
Click on the default Goal of Maximize and change it to Match Target.
Figure 2.4 Selection of Match Target as the Goal
4.
Click under Lower Limit and type 1.2.
5.
Click under Upper Limit and type 1.4.
6.
Leave the area under Importance blank.
1.
Click Add Factor > Categorical > 2 Level.
2.
Type Grind over the default Name of X1.
4.
Type 3 next to Add N Factors. Then click Add Factor > Continuous.
Temperature (195 and 205)
Time (3 and 4)
Charge (1.6 and 2.4)
6.
Click Add Factor > Blocking > 4 runs per block.
7.
Type Station over the default Name of X5.
Figure 2.5 Completed Responses and Factors Outlines
8.
Click Continue.
2.
Select Help > Sample Data Library and open Design Experiment/Coffee Factors.jmp.
Figure 2.7 shows the Model outline. The Model outline is where you specify your assumed model, which contains the effects that you want to estimate. See Specify. The list that appears by default shows all main effects as Necessary, indicating that the design is capable of estimating all main effects. Because your main interest at this point is in the main effects of the factors, you do not add any effects to the Model outline.
Figure 2.6 Model Outline with Main Effects Only
Because the Custom Design algorithm begins with a random starting design, your design might differ from the one shown in Figure 2.8. To obtain a design with exactly the same runs, perform the following steps before generating your design:
3.
6.
Figure 2.7 Design Generation Outline
1.
Click Make Design.
The Design outline shows the design (Figure 2.8). If you did not follow the steps in Steps to Duplicate Results (Optional), your design might be different from the one in Figure 2.8. This is because the algorithm begins with a random starting design.
Figure 2.8 Design for Coffee Experiment
Specify the order of runs in your data table using the Output Options panel. The default selection, Randomize within Blocks, is appropriate. This selection arranges the runs in a random order for each Station.
Figure 2.9 Output Options
1.
Click Make Table.
The data table shown in Figure 2.10 opens. Keep in mind that, if you did not follow the steps in Steps to Duplicate Results (Optional), your design table might be different. Your design table represents another optimal design.
Figure 2.10 Custom Design Table

Help created on 10/11/2018