قارن الطرق

	محاكاة سيناريوهات السياسات للانتظار	نموذج ماركوف
المجال	المحاكاة	المحاكاة
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1909 (queueing theory); scenario application from 1960s–1970s OR literature	1906
صاحب الطريقة	Erlang, A. K. (foundation); generalized by operations research community	Andrei Markov
النوع	Comparative simulation experiment	Probabilistic state-transition model
المصدر التأسيسي	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
الأسماء البديلة	PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model	Markov Chain, Discrete-Time Markov Chain, DTMC, Markov Process
ذات صلة	5	5
الملخص	Policy Scenario Queueing Simulation applies queueing theory and discrete-event simulation to evaluate two or more competing service or resource-allocation policies under realistic demand and capacity conditions. By holding the system structure constant and varying only the policy rules, analysts can directly compare throughput, waiting times, utilization, and equity outcomes before committing to real-world implementation.	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.