ScholarGate
助手
Process / pipelineSimulation / optimization

确定性离散事件仿真 — 使用固定、非随机输入的事件驱动建模

确定性离散事件仿真(Deterministic DES)将系统建模为在精确、预定的时间点发生的事件序列,并使用固定的输入参数。与随机离散事件仿真不同,它不进行概率分布采样;所有到达、服务时间和资源可用性都预先可知,使得仿真运行完全可复现,并产生单一确定的输出轨迹。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127
  2. Discrete-event simulation. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Deterministic Discrete-Event Simulation — Event-driven modeling with fixed, non-random inputs. ScholarGate. https://scholargate.app/zh/simulation/deterministic-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.

Compare side by side

被引用于

ScholarGateDeterministic Discrete-Event Simulation (Deterministic Discrete-Event Simulation — Event-driven modeling with fixed, non-random inputs). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/deterministic-discrete-event-simulation · 数据集: https://doi.org/10.5281/zenodo.20539026