方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 策略情景排队仿真× | 政策情景离散事件仿真× | |
|---|---|---|
| 领域 | 仿真 | 仿真 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1960s–1990s |
| 提出者≠ | 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 |
| 类型≠ | Comparative simulation experiment | Simulation-based policy evaluation |
| 开创性文献≠ | 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 |
| 别名 | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis |
| 相关 | 5 | 5 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|