Сравнение методов

	Робастное моделирование очередей	Имитационное моделирование систем массового обслуживания
Область	Имитационное моделирование	Имитационное моделирование
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s–2018	1909
Автор метода	Whitt, W. and colleagues; Bertsimas, D. and colleagues	Agner Krarup Erlang
Тип	Simulation with worst-case uncertainty propagation	Stochastic simulation / analytical modeling
Основополагающий источник	Bertsimas, D., Natarajan, K., & Teo, C.-P. (2011). Distributionally robust optimization: A review. European Journal of Operational Research.	Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101
Другие названия	RQS, Distributionally Robust Queueing, Robust Queue Simulation, Uncertainty-Aware Queueing Simulation	Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue
Связанные	6	6
Сводка	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.	Queueing Simulation combines classical queueing theory with discrete-event simulation to model systems where entities arrive, wait for service, and depart. It predicts performance metrics such as average waiting time, queue length, and server utilization, enabling capacity planning and bottleneck identification across service, manufacturing, healthcare, and network systems.