Monte Carlo simulation is a mathematical technique that provides accurate estimates when working with uncertainties. It uses randomness to obtain meaningful information and is effective for calculating business risks and predicting failures such as cost or scheduling overruns.
AnyLogic enables Monte Carlo simulation for highly complex systems. With multimethod modeling simulated systems can be complex, dynamic, and non-linear. The results from these simulation models can come from parallel processing and cloud computing and made available in a variety of ways, including via API and custom UI. Learn more...