Suppose you had three services and wanted to measure the sensitivity of the results to across-the-board tariff movements. As three separate parameters within a single sensitivity, each service’s tariff would be perturbed separately. However, the Label input can also be used to group together linked parameters, simply by using the
same label to identify them. When STEM generates the results, it varies all the parameters within a single named group at the same time rather than separately, and presents them within the Results program as a single coherent sensitivity test. This is useful when carrying out sensitivity analysis on parameters such as tariffs which are likely to vary together in the real world. The grouping mechanism means that you can generate a single coherent sensitivity analysis without having to introduce a direct linkage between the actual tariff inputs in the model itself.
Using custom labels to group sensitivities
Note: there is no specific feature that can be used to generate best case or worst case sensitivity results, but you could use the same label to group parameters together to get the same effect.