Sammenlign metoder

	Robust køsimulering	Køsimulering – Modellering og analyse av ventelinjesystemer
Fagfelt	Simulering	Simulering
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	2000s–2018	1909
Opphavsperson	Whitt, W. and colleagues; Bertsimas, D. and colleagues	Agner Krarup Erlang
Type	Simulation with worst-case uncertainty propagation	Stochastic simulation / analytical modeling
Opprinnelig kilde	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
Relaterte	6	6
Sammendrag	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.