Response Optimizeroverview data how to example see also
Response OptimizerStat > DOE > Response Surface > 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 upon 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. |
See Stored Model Overview for a discussion about how to use stored models.
Optimize up to 25 responses:
Use the drop-down list in the dialog table to include responses in the analysis and to specify the goal for each response.
Response: Displays all of the responses that you can include in the optimization. This column does not take any input. If an expected response does not appear in the table, fit a model to it.
Goal: Choose Minimize, Target, or Maximize from the drop-down list to include a response in the analysis. If you do not want to include a response in the optimization process, choose Do not optimize.
Target: For each response that you choose Target, enter a target value.