Once data has been obtained, whether from an optimization or DOE, or from data importation, the user can turn to the extensive post-processing features in modeFRONTIER to analyze the results. The software offers wide-ranging toolbox, allowing the user to perform sophisticated statistical analysis and data visualization.
- DOE Algorithms
- Response Surface Methodologies
- Multi Criteria Decision Making
- Multivariate Analysis
- Table Creation Tool
activeVIEWER is a new module able to open modeFRONTIER project files, view charts and check tables and functions from modeFRONTIER DesignSpace without having a modeFRONTIER's license installed locally.
Statistical tools can be used to find correlations, in particular which input variables have most influences in the system outputs; these results can be obtained from an available database, or from DOE.
- Is the DOE set up correctly for the analysis we need?
- Which are the most important design variables?
- Can we reduce the space between variables?
- What is the best design space region to address for the optimization process?
- What is a reasonable number of objectives or constraints to be defined?
- What is the effect of the variations of input variable on the outputs?
- Are there interaction effects between variables? Are local behaviours different from the global ones?
- Is the solution stable in the event of small fluctuations of input variables?
Best practice for Statistical Analysis
- Define a proper DOE: correlations between input variables should be as low as possible.
- When DOE is run, use Statistical Analysis to find the most significant variables, reducing variable space or the number of objectives
- In the reduced variable space, optimization could be run.
The efficiency of the algorithm will be increased owing to Statistical Analysis application.