The Robustness wizard provides a decision tree which helps to find a suitable algorithm with good and proofed settings. Therefore, some information about the process chain or analysed model is required.
From the Wizards pane, drag the Robustness wizard on top of an existing process chain in the Scenery pane and let it drop.
On the Parametrize Inputs page, you can modify the parameter type, reference value, range, and other parameter properties.
Only parameters with deterministic properties (Optimization or Opt.+Stoch.) are relevant for optimization.
On the Criteria page, you can define variables, objectives and constraints.
On the Robustness / Reliability method page, set the following options:
Left Side of Page
On the left side of this page, you can set robustness evaluation and reliability analysis constraint options. These options are preset based on available information.
Option Description Uncertainty knowledge Select one of the following: Failed designs Select one of the following: Solver noise Select one of the following: Desired sigma level Select one of the following: Simulation runtime Short
Adjusts default settings for short simulation times with low safety requirements for further increase of simulation speed (no auto-save, write the monitoring database file at the end of process, no expensive checks of duplicated designs)
Long
Adjusts default settings for long simulation times with increased safety requirements (auto-save after each design, write the monitoring database file after each design)
Complexity evaluation A small calculator to estimate the algorithm runtime. (Not shown by default but configurable). Additional settings Shows information about parametric data and criteria. (Read only). Right Side of Page
On the right side of this page, the wizard helps you find a proper algorithm using indicators. A recommendation is made, but you can select the algorithm to use. Only impossible robustness/reliability analysis systems are deactivated, for example, ARSM-DS for missing limit states.
Sampling method not recommended 
Sampling method is reasonable 
Sampling method is recommended Other Options
Option Description Plugins Allows you to select any customized algorithms available. Algorithm Settings Allows you to select algorithm settings of the recommended sampling method. (Not shown by default but configurable). In Ansys Workbench optiSLang Extension, it is only available for robustness sampling. On the Additional options page, set the following:
Option Description Show postprocessing during algorithm run When selected, opens postprocessing as soon as the minimum number of required designs are solved. Show postprocessing on algorithm termination When selected, the postprocessing opens after the algorithm is finished. Wait for user-interaction to continue When selected, waits for some user interaction before continuing the algorithm postprocessing. This is useful for certain workflows, for example, to deactivate designs and save a reduced data set. Show reduced data-set if available When selected, if a reduced data set with the name *_for_MOP.bin is available in the working directory, it is displayed. Note: Only save the reduced data set within the postprocessing of node Postprocessing (after algorithm termination). Modifications on the binfile (*.bin) or optiSLang monitoring database file (*.omdb) during calculations might be rejected.
Create MOP Available if was selected. When selected, creates a MOP node connected either to the slot OReducedMDBPath of the Postprocessing node if any postprocessing option is selected, or to the slot OMDBPath of the sensitivity or robustness system if postprocessing is not to be shown. Click .