So sánh phương pháp

	Mô phỏng Hàng đợi	Mô hình Markov
Lĩnh vực	Mô phỏng	Mô phỏng
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1909	1906
Người khởi xướng	Agner Krarup Erlang	Andrei Markov
Loại	Stochastic simulation / analytical modeling	Probabilistic state-transition model
Công trình gốc	Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101	Norris, J. R. (1997). Markov Chains. Cambridge University Press, Cambridge. ISBN: 9780521633963
Tên gọi khác	Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue	Markov Chain, Discrete-Time Markov Chain, DTMC, Markov Process
Liên quan	6	5
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.	A Markov Model represents a system as a finite set of states and specifies the probability of moving from one state to another at each time step. By capturing only the current state — not the full history — it enables tractable analysis of complex dynamic processes across health economics, engineering reliability, operations research, and social-science modeling.