You might want to change the variable settings on the optimization plot for one of the following reasons:
- Search for settings with a higher composite desirability
- Search for lower-cost settings with near optimal properties
- Explore the sensitivity of response variables to changes in the settings
- Calculate the predicted responses for settings of interest
- Explore settings in the neighborhood of a local solution
To change the settings on the plot, double-click the graph to open interactive mode and do one of the following:
- Drag the vertical red lines with your mouse or by clicking the current level shown in brackets and typing a new value. When you change a variable to a new level, the graphs are re-drawn and the predicted responses and desirabilities are automatically re-calculated.
- For Mixture designs, if you change the level of one component, other components adjust to keep the total amount constant. If you want to keep the level of a component at its current level, you can click the brackets beside its name to lock it.
- If you discover a combination of settings with a composite desirability greater than the initial setting, Minitab automatically saves the new optimal setting.
For a plot for a model from the Stat menu, you can also:
- Return to the initial settings by
clicking
on the Toolbar. - Reset the graph to the optimal
settings clicking
on the Toolbar. - Save new factor settings by
clicking
on the Toolbar.
For a plot for a model from the Predictive Analytics
Module, you can also:
- Display any saved setting by selecting the row in the table at the bottom of the plot.
- Save settings by selecting +.
