Process / pipelineSimulation / optimization
随机离散事件仿真 — 事件驱动系统的概率建模
随机离散事件仿真（Stochastic DES）通过将模拟时间从一个离散事件推进到下一个离散事件来模拟复杂系统，并从拟合的概率分布中抽取事件持续时间和到达间隔时间。它是分析不确定性下队列、生产线、医疗路径和物流网络的标准技术，能够生成具有置信区间的输出统计数据。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127
- Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. ISBN: 9780073401324
如何引用本页
ScholarGate. (2026, June 3). Stochastic Discrete-Event Simulation (Stochastic DES). ScholarGate. https://scholargate.app/zh/simulation/stochastic-discrete-event-simulation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 基于主体的建模（ABM）仿真↔ compare
- 离散事件仿真 (DES)仿真↔ compare
- 马尔可夫模型仿真↔ compare
- 蒙特卡洛模拟决策↔ compare
- 排队仿真仿真↔ compare
- 随机系统动力学仿真↔ compare