Сравнение методов

	Моделирование сценариев политики в системах массового обслуживания	Имитационное моделирование дискретно-событийных сценариев политики
Область	Имитационное моделирование	Имитационное моделирование
Семейство	Process / pipeline	Process / pipeline
Год появления	1909 (queueing theory); scenario application from 1960s–1970s OR literature	1960s–1990s
Автор метода	Erlang, A. K. (foundation); generalized by operations research community	Tocher, K. D. and Gordon, G. (early DES); policy scenario extension emerged through operations research and health policy modeling communities
Тип	Comparative simulation experiment	Simulation-based policy evaluation
Основополагающий источник	Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101	Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. ISBN: 9780073401324
Другие названия	PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model	Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis
Связанные	5	5
Сводка	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.	Policy Scenario Discrete-Event Simulation combines the event-by-event fidelity of Discrete-Event Simulation with systematic policy scenario analysis to evaluate how different interventions, regulations, or resource allocations change system performance. By running multiple well-defined policy scenarios through the same DES model, analysts can compare outcomes — throughput, waiting times, costs — across alternatives before real-world implementation.