How can one determine if a simulation model is robust?

To determine if a simulation model is robust, it is essential to test it across various scenarios and check for consistent outcomes. Robustness in this context refers to the model's ability to provide reliable and stable results even when faced with different input conditions or slight variations in parameters. By running a range of scenarios, including edge cases or extreme conditions, you can assess whether the model behaves as expected and delivers results that are consistent and reliable.

This process ensures that the model is not overly sensitive to changes in any specific variable or set of conditions. A robust model will demonstrate that it can handle variability while still producing meaningful and accurate results. This aspect of verification is crucial for establishing the credibility of the simulation model, especially in applications where decision-making depends on the insights derived from the simulation outcomes.