Process / pipelineSimulation / optimization

Robust Queueing Simulation — Analyzing Queue Performance Under Uncertainty

Robust Queueing Simulation integrates robustness analysis into queueing system simulation by considering worst-case or uncertainty-set-driven scenarios for arrival rates, service distributions, and queue disciplines. It produces performance guarantees that hold across an entire family of plausible input distributions, making it essential for risk-sensitive service system design.

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Sources

  1. Bertsimas, D., Natarajan, K., & Teo, C.-P. (2011). Distributionally robust optimization: A review. European Journal of Operational Research. link
  2. Whitt, W., & You, W. (2018). Robust queueing theory. Operations Research, 66(3), 849–865. DOI: 10.1287/opre.2017.1687

Related methods

ScholarGateRobust Queueing Simulation (Robust Queueing Simulation — Simulation of queueing systems under uncertainty and worst-case distributional assumptions). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/robust-queueing-simulation