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.