Linganisha mbinu

	Uigaji wa Matukio ya Sera za Msitari	Uiguzi wa Matukio ya Sera kwa njia ya Uiguzi wa Matukio-kwa-tukio
Nyanja	Uigaji	Uigaji
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1909 (queueing theory); scenario application from 1960s–1970s OR literature	1960s–1990s
Mwanzilishi	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
Aina	Comparative simulation experiment	Simulation-based policy evaluation
Chanzo asilia	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
Majina mbadala	PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model	Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis
Zinazohusiana	5	5
Muhtasari	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.