An optimization plot is a Minitab Response Optimizer tool that shows how different experimental settings affect the predicted responses for a stored model.
For example, your company injection-molds a plastic part that must obtain certain levels of both strength and flexibility. You would like to determine the temperatures and pressures that will give the plastic the maximum strength and flexibility.
The optimization plot shows the affect of each factor (columns) on the responses or composite desirability (rows). The vertical red lines on the graph represent the current factor settings. The numbers displayed at the top of a column show the current factor level settings (in red). The horizontal blue lines and numbers represent the responses for the current factor level.
Minitab calculates that strength and flexibility are maximized when all factors are at their highest settings (Press=95, Sealant=75, and Machine=2).
Double-click the graph to open interactive mode. From here, you can investigate how the responses change when the factor levels change. You can also click Predict on the toolbar to display the fitted value and prediction intervals for the current settings in the output.
If you have a mixture model, the Predict button is disabled in the toolbar. To predict for specific settings in a mixture design, you must go back to the Analyze Mixture Design dialog box.