Sensitivity analysis allows you to assess the results and identify the inputs whose variation have the most impact on your key outputs. Use this method along with your process knowledge to identify the inputs that can be adjusted to make improvements. Companion displays a graph that shows the effect of changing the standard deviation of each input on the percent of output that is out of spec.
Sensitivity analysis often follows parameter optimization, which focuses on finding optimal settings for the inputs. For more information, go to Perform a parameter optimization.
Use the sensitivity analysis to evaluate the effects of the input variation on the output variation.
If you prefer to evaluate the standard deviation rather than the % out of spec, click Standard Deviation on the y-axis label. (% Out of Spec is only available when you have specification limits.)
Companion displays the results of the sensitivity analysis, assumptions, and guidance for next steps.
Each time you repeat the simulation, the results will vary because the simulation is based on randomly selected values for the inputs.
After you analyze the results, you may want to return to the model and change inputs or outputs, and then rerun it. This allows you to test a number of "what if" scenarios allowing you to gain insight into the behavior of your system and make better decisions.