Determines the optimal settings in an experiment with a single output, or with multiple competing outputs. It also provides a graphical tool for exploring what-if alternative solutions. A desirability function is created for each process output, with multiple outputs combined into an overall desirability using adjustable weights for each output.
|When to Use||Purpose|
|Mid-project||Very useful for determining the settings of key process inputs that result in the optimal value of a single process output.|
|Mid-project||Very useful for determining the settings of key process inputs that result in the best compromise solution for satisfying the goals relative to two or more process outputs.|
|Mid-project||Make adjustments to the initial optimal solution, determine the impact on the outputs and the compromise, and settle on a final optimal solution.|
Input is a 2K DOE, response surface DOE, or a mixture DOE solved for one or more outputs
If you have discrete numeric data from which you can obtain every equally spaced value and you have measured at least 10 possible values, you can evaluate these data as if they are continuous.