Monte Carlo simulation is a widely-used method for investigating uncertainties in a probabilistic way. On the other hand, parameters significantly affecting output behavior should be chosen as candidates for additional data collection (Sterman 2000). Modelers may spend much time on estimation of possibly unimportant model parameters. ![]() Furthermore, sensitivity analysis “also helps to develop intuition about model structure and it guides the data collection efforts” (Sterman 2000). ![]() Hence, sensitivity analysis is used to estimate the effect of such uncertainty on model’s output. In System Dynamics, parameters are the representation of exogenous forces that affect the behaviour of a system and are often subject to uncertainty (Hekimoglu & Barlas).
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