So sánh phương pháp

	Mô phỏng Hàng đợi	Mô phỏng Monte Carlo
Lĩnh vực	Mô phỏng	Ra quyết định
Họ	Process / pipeline	MCDM
Năm ra đời	1909	1949
Người khởi xướng	Agner Krarup Erlang	Metropolis, N., Ulam, S.
Loại	Stochastic simulation / analytical modeling	Robustness wrapper — Monte Carlo uncertainty propagation
Công trình gốc	Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association
Tên gọi khác	Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue	—
Liên quan	6	0
Tóm tắt	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.	MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.