The definitive screening design window updates as you work through the design steps. For more information, see The DOE Workflow: Describe, Specify, Design. The outlines, separated by buttons that update the outlines, follow the flow in Definitive Screening Design Flow.
Tip: When you have completed your Responses panel, consider selecting Save Responses from the red triangle menu. This saves the response names, goals, limits, and importance values in a data table that you can later reload.
The name of the response. When added, a response is given a default name of Y, Y2, and so on. To change this name, double-click it and enter the desired name.
The Goal tells JMP whether you want to maximize your response, minimize your response, match a target, or that you have no response goal. JMP assigns a Response Limits column property, based on these specifications, to each response column in the design table. It uses this information to define a desirability function for each response. The Profiler and Contour Profiler use these desirability functions to find optimal factor settings. For further details, see the Profilers book and Response Limits in Column Properties.
Note: If your target response is not midway between the Lower Limit and the Upper Limit, you can change the target after you generate your design table. In the data table, open the Column Info window for the response column (Cols > Column Info) and enter the desired target value.
The Goal, Lower Limit, Upper Limit, and Importance that you specify when you enter a response are used in finding optimal factor settings. For each response, the information is saved in the generated design data table as a Response Limits column property. JMP uses this information to define the desirability function. The desirability function is used in the Prediction Profiler to find optimal factor settings. For further details about the Response Limits column property and examples of its use, see Response Limits in Column Properties.
Enters the number of continuous factors specified in Add N Factors.
Enters the number of nominal factors specified in Add N Factors.
Adds multiple factors of a given type. Enter the number of factors to add and click Continuous or Categorical. Repeat Add N Factors to add multiple factors of different types.
Tip: When you have completed your Factors panel, select Save Factors from the red triangle menu. This saves the factor names and values in a data table that you can later reload. See Definitive Screening Design Options.
The name of the factor. When added, a factor is given a default name of X1, X2, and so on. To change this name, double-click it and enter the desired name.
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To edit a value, click the value in the Values column.
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Adds the number of blocks specified in the Number of Blocks text box. Constructs a design where block effects are orthogonal to main effects and where the model consisting of all main and quadratic effects is estimable. For details, see Add Blocks with Center Runs to Estimate Quadratic Effects
Adds the number of blocks specified in the Number of Blocks text box. Adds only as many center runs as required by the design structure. Constructs a design where block effects are orthogonal to main effects, but the model consisting of all main effects and quadratic effects may not be estimable. For details, see Add Blocks without Extra Center Runs.
Note: Use the Add Blocks without Extra Center Runs option only if you can assume that not all quadratic effects are important.
If a design contains a categorical factor, a center run is a run where all continuous factors are set at their middle values. If all factors are categorical, the two blocking options are available. Both options produce designs whose blocks are orthogonal to main effects.
The Add Blocks with Center Runs to Estimate Quadratic Effects option constructs a design with these properties:
If a design contains only continuous factors, a blocked design for k factors having these properties can be constructed as follows:
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When some factors are categorical, the Add Blocks with Center Runs to Estimate Quadratic Effects option adds pairs of center runs within certain blocks. This structure ensures orthogonality and the ability to estimate all main and quadratic effects.
Because the only requirement on block size is that a block contains a foldover pair, the number of blocks can range from 2 to k, if k is even and from 2 to k+1, if k is odd. See Conference Matrices and the Number of Runs. JMP attempts to construct blocks of equal size.
The Add Blocks without Extra Center Runs option constructs a design that has a single center run when all factors are continuous and two center runs when some factors are categorical. The resulting design has these properties:
A blocked design for k factors without extra center runs is constructed as follows:
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If there are categorical factors, the unblocked definitive screening design requires the addition of two center runs to the foldover pairs defined by the conference matrix. See Conference Matrices and the Number of Runs. To construct the blocked design without extra center runs, these two center runs are added to a single block.
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Because the only requirement on block size is that a block contains a foldover pair, the number of blocks can range from 2 to k, if k is even and from 2 to k+1, if k is odd. See Conference Matrices and the Number of Runs. JMP attempts to construct blocks of equal size.
Note: Definitive screening designs for four or fewer factors are based on a five-factor design. See Definitive Screening Designs for Four or Fewer Factors.
The Run Order options determine the order of the runs in the design table. Choices include the following:
Click Make Table to construct the Definitive Screening Design data table.
In the Definitive Screening Design table, the Table panel (in the upper left) contains the following scripts. To run a script, select Run Script from the red triangle menu.
Runs the Analyze > Fit Model platform. The model described by the script contains the main effects for the factors that you specified. If you requested a block, the model includes the factor Block.
