The Real-World Queue Fairness Simulator

 Create an interactive simulation tool for analyzing how queues behave under different service rules and how those rules affect both waiting time and fairness.

Support scenarios such as customer support queues, appointment scheduling, service desks, repair centers, and shared computing resources. Let users define arrival patterns, service times, priority groups, staffing levels, deadlines, and interruption rules.

Compare first-come-first-served, priority-based, appointment-based, and configurable hybrid scheduling policies. Measure average and median waiting time, long-wait frequency, throughput, resource utilization, and differences between groups.

Visualize individual journeys through the queue and highlight cases where a priority policy consistently disadvantages lower-priority users. Let users experiment with reservation limits, overflow capacity, dedicated service lanes, and priority caps.

Run repeated simulations with randomized arrival and service times, reporting variability instead of presenting one run as definitive. Make assumptions explicit and avoid using demographic attributes as automatic proxies for priority.

Export scenario comparisons and recommendations for a controlled real-world trial.