Comparer des méthodes

	Simulation Robuste de Files d'Attente	Simulation de files d'attente
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s–2018	1909
Auteur d'origine	Whitt, W. and colleagues; Bertsimas, D. and colleagues	Agner Krarup Erlang
Type	Simulation with worst-case uncertainty propagation	Stochastic simulation / analytical modeling
Source fondatrice	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
Alias	RQS, Distributionally Robust Queueing, Robust Queue Simulation, Uncertainty-Aware Queueing Simulation	Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue
Apparentées	6	6
Résumé	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.