Сравнение методов

	Имитационное моделирование дискретно-событийных сценариев политики	Динамика системной политики
Область	Имитационное моделирование	Имитационное моделирование
Семейство	Process / pipeline	Process / pipeline
Год появления	1960s–1990s	1960s–1990s
Автор метода	Tocher, K. D. and Gordon, G. (early DES); policy scenario extension emerged through operations research and health policy modeling communities	Forrester, J. W. (system dynamics); scenario integration formalized by Sterman and others
Тип	Simulation-based policy evaluation	Simulation-based policy analysis
Основополагающий источник	Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. ISBN: 9780073401324	Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 9780072389159
Другие названия	Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis	PSSD, Policy SD Simulation, Scenario-Based System Dynamics, Policy Systems Modeling
Связанные	5	5
Сводка	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.	Policy Scenario System Dynamics combines system dynamics modeling with structured scenario analysis to evaluate how different policy interventions affect complex, feedback-driven systems over time. By running multiple policy scenarios through a calibrated stock-and-flow model, analysts can compare long-run outcomes, identify leverage points, and anticipate unintended consequences before real-world implementation.