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| 정책 시나리오 대기열 시뮬레이션× | 정책 시나리오 이산 사건 시뮬레이션× | |
|---|---|---|
| 분야 | 시뮬레이션 | 시뮬레이션 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1960s–1990s |
| 창시자≠ | 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 |
| 유형≠ | Comparative simulation experiment | Simulation-based policy evaluation |
| 원전≠ | 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 |
| 별칭 | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis |
| 관련 | 5 | 5 |
| 요약≠ | 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. |
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