There are benefit could be obtained from sensitivity analysis. Bannerman S. (1992)
suggests that sensitivity analysis is performed to determine the robustness of the optimal decision. It is also helpful in revealing the geometry of the decision problem. The method identifies those elements which have the greatest impact on feasibility and allows them to be subjected to management scrutiny. Thus,sensitivity analysis enables the identification of critical variables underlying forecasts of relations and prioritising variables accordingly. This process requires more effortto be allocated to obtaining greater accuracy when selecting these variables and, implicitly, more reliable return forecasts will be produced. In other words, sensitivity analysis is conducted during early iterations of analysis in order to determine where additional
modelling and assessment efforts are needed to improve the quality of the analysis. The
method allows the effects of different variables to be compared and facilitates comparison of the effects of the different variables on the project as a whole. It helps identify design options that need to be considered in detail and additional information which should be sought on some variables as well as helping to convey
some idea of project risk.