Response Optimizeroverview data how to example see also
Response OptimizerStat > DOE > Mixture > Response Optimizer
Use response optimization to help identify the combination of input variable settings that jointly optimize a single response or a set of responses. Joint optimization must satisfy the requirements for all the responses in the set, which is measured by the composite desirability.
Minitab calculates an optimal solution and draws a plot. The optimal solution serves as the starting point for the plot. This optimization plot allows you to interactively change the input variable settings to perform sensitivity analyses and possibly improve the initial solution.
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Note |
Although numerical optimization along with graphical analysis can provide useful information, it is not a substitute for subject matter expertise. Be sure to use relevant background information, theoretical principles, and knowledge gained through observation or previous experimentation when applying these methods. |
Select up to 25 response variables to optimize
Available: Shows all the responses that have had a model fit to them and can be used in the analysis. Use the arrow keys to move the response columns from Available to Selected. (If an expected response column does not show in the Available list, fit a model to it using Analyze Mixture Design.)
Selected: Shows all responses that will be included in the optimization.
Model Fitted in
Proportions: Choose to refit the model in proportions.
Pseudocomponents: Choose to refit the model in pseudocomponents.
<Level for Input Variable> Only available from the response optimization plot window. Access by clicking in the red input variable settings.