Double-click the Taguchi Robust Design component icon
.
The Taguchi Robust Design Component Editor appears.
From the Taguchi Robust Design Component
Editor, click the Postprocessing tab.
Best and worst factor levels are estimated based on
main effect calculations. The combination of best or worst levels may
not be a combination that was included in the control experiment and,
hence, no metric (e.g., S/N ratio) value is available. The metric value
is estimated automatically, again based on main effect information. Choosing
S/N Ratio and/or Sensitivity
allows the estimated response metric values to be verified with actual
executions of the noise array and signal levels.
Click a response.
Click in the Confirm column,
and select one of the following:
-
Best Levels
-
Worst Levels
-
Best and Worst Levels
If desired, click Edit at the
bottom of the editor to set options for multiple responses. For more
information, see Editing Attributes for Multiple Parameters.
Select the metric value check box to select the performance
metrics to be confirmed.
For each selected response, any or all the following
estimated metric values (at best and/or worst factor levels) can be confirmed:
-
S/N Ratio
-
Sensitivity (Static or Dynamic only)
-
Mean (Static only)
-
Variance (Static only)
-
Loss Function(Static only)
-
Beta 1 (Dynamic-Standardized only)
-
Beta 2 (Dynamic-Standardized only)
-
Beta 3 (Dynamic-Standardized only)
As shown, confirmation of Mean,
Variance, and Loss Function
applies only to static systems. Confirmation of Beta 1,
Beta 2, and Beta 3 applies
only to dynamic-standardized systems. The runs for each best/worst, response,
metric, and combination are performed independently, each requiring full
execution of the noise array (times the number of signal factor levels
for the dynamic case).
(Dynamic-Standardized Systems only) Determine the Standardized
S/N Ratio setting. This option determines how the S/N ratio
is calculated. For more information regarding the standardized S/N ratio
calculation, see Taguchi Dynamic-Standardized Analysis. The following
options are available:
-
Generic formulation
-
Taguchi formulation
Click Run baseline design point (all noise/signal
experiments will be executed) to specify an evaluation of
robustness at baseline design, if necessary.
After execution of the designed experiments, Isight
executes the noise/signal combinations at the baseline design and performs
Taguchi postprocessing on that point to calculate the values of the Taguchi
metrics for the baseline design. Then, these values are used for comparison
with metric values at identified best/worst levels to calculate benefit/loss
achieved through the performed experimentation and postprocessing.
Click OK to save your changes
and to close the Taguchi Robust Design Component Editor.