How do performance measures impact simulation results?

Performance measures are essential in simulation as they offer quantitative metrics that help assess the efficiency and effectiveness of a system. These metrics can include a variety of numerical data points, such as throughput, wait times, resource utilization, and other key indicators that provide a concrete understanding of the system's performance.

Using quantitative metrics allows for objective comparisons between different scenarios, designs, or processes. For example, a simulation can provide metrics on how changes in resource allocation or process flow affect overall system performance. This data-driven approach enables decision-makers to draw accurate conclusions, optimize processes, and make informed adjustments to enhance productivity and outcomes.

In contrast, while qualitative assessments can provide useful insights into user perceptions and experiences, they do not offer the same level of precise measurement as quantitative metrics. Other options, such as focusing solely on system speed or evaluating user satisfaction, do not encompass the broader scope of performance measures, which are vital for comprehensive analysis in simulation scenarios.