Simulation in Operations Research works by creating a model of a real-world system and experimenting with it under different conditions. First, the important parts of the system, such as resources, customers, demand, waiting times, or processing times, are identified. Then, realistic input data—often including random or uncertain values—is used to imitate how the system behaves over time. The simulation is run repeatedly to test different scenarios and measure outcomes, allowing decision-makers to compare alternatives without changing the actual system. For example, a company could simulate different numbers of employees to determine how staffing levels affect customer waiting time and operating costs.