Why is it important to review simulation output?

• A. To ensure the results closely approximate the performance of the real system.
• B. To increase the speed of the simulation run.
• C. To simplify the underlying model.
• D. To fulfill reporting requirements.

Answer: (A)

Reviewing simulation output is essential to validate that the results reflect how the real system would perform. Since a simulation is an abstraction built on a model and random inputs, you must check that the outputs are plausible, that the estimates have stabilized (converged) with enough replications, and that the observed variability aligns with the scenario. This review helps confirm the model is implemented correctly, that input assumptions and distributions are appropriate, and that any unusual patterns or outliers are investigated rather than ignored. By comparing outputs to historical data or benchmarks, you build confidence that the model can support real decisions. This stands in contrast to speeding up the run, which is about computational performance, or simplifying the underlying model, which changes results, or merely fulfilling reporting requirements, which is not the primary purpose of examining the results.