Comparer des méthodes

	Simulation de Scénarios de Politiques de File d'Attente	Simulation à Événements Discrets pour Scénarios de Politique
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1909 (queueing theory); scenario application from 1960s–1970s OR literature	1960s–1990s
Auteur d'origine	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
Type	Comparative simulation experiment	Simulation-based policy evaluation
Source fondatrice	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
Alias	PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model	Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis
Apparentées	5	5
Résumé	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.