In the Post-Processing step, use the tools available from the various tabs for post processing computational results from a DOE, Optimization, Fit, or Stochastic study. The post-processing tools available vary by approach.
Doe |
Fit |
Optimization |
Stochastic |
Comments |
|
|
X |
|
|
Identify the importance of LSR factors. |
|
|
X |
|
|
Assess response surface quality in summary. |
|
X |
X |
X |
X |
Visualize data trends and identify outliers. |
|
X |
|
|
|
Identify important variables. |
|
X |
X |
X |
X |
Review statistics of data sets. |
|
X |
|
|
|
Identify interconnection between variables. |
|
|
|
X |
|
Visualize scatter history of optimizations. |
|
|
|
X |
|
Visualize Pareto Frontiers. |
|
X |
X |
X |
X |
Identify trends in large data sets. |
|
X |
X |
X |
X |
Identify trends in large data sets. |
|
X |
|
|
|
Plot the effects of variables on output responses in hierarchical order (highest to lowest). |
|
|
|
|
X |
Lookup specific reliability values. |
|
|
|
|
X |
Visualize the representation of system reliability. |
|
|
X |
|
|
Asses response surface quality in detail. |
|
X |
X |
X |
X |
Visualize data sets in 2 dimensions. |
|
X |
X |
X |
X |
Visualize data sets in 3 dimensions. |
|
X |
X |
X |
X |
Present raw data in tabular form. |
|
|
X |
|
|
Interactive output response suface tool to perform "what if" scenarios. |
Use the Channel selector to select output responses and/or input variables to render in the work area.
Multiplot selection enables you to view one plot for all input variables/output responses active in the Channel selector, or separate plots for each input variable/output response. Toggle the multiplot button ( / ), above the Channel selector, to change the number of plots that display in the work area. Multiplot selection is not supported for all post-processing tools.
Post-Processing for Optimizations