Performing Global Sensitivity Analysis

JuliaSimModelOptimizer enables users to consider additional model exploration based on Global Sensitivity Analysis (GSA). This approach is helpful to further investigate how the model output reacts to variance in the model input. For example, we can analyse quantitatively how the variance in single input variables and how combinations of variances in several input variables affect output variables as shown in the figure below:

1. Influence of first input variable,
2. Influence of second input variable,
3. Influence of third input variable,
4. Influence of second and third input variable.

The gsa function

gsa(qsp::SensitivityProblem, method; samples, batch)