方法对比
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| 确定性离散事件仿真× | 确定性系统动力学× | |
|---|---|---|
| 领域 | 仿真 | 仿真 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1960s–present | 1961 |
| 提出者≠ | Banks, J.; Carson, J. S.; Nelson, B. L. (codified); roots in 1960s simulation pioneers (Tocher, Conway) | Jay W. Forrester |
| 类型≠ | Simulation — deterministic event-driven model | Continuous feedback-loop simulation |
| 开创性文献≠ | Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127 | Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA. ISBN: 9780262560221 |
| 别名 | Deterministic DES, Fixed-Input DES, Non-Stochastic Discrete-Event Simulation, Deterministic Event-Driven Simulation | Deterministic SD, Classical System Dynamics, Continuous Simulation SD, Forrester System Dynamics |
| 相关 | 5 | 5 |
| 摘要≠ | Deterministic Discrete-Event Simulation (Deterministic DES) models a system as a sequence of events occurring at precise, pre-specified times using fixed input parameters. Unlike stochastic DES, no probability distributions are sampled; every arrival, service time, and resource availability is known in advance, making runs fully reproducible and producing a single definitive output trajectory. | Deterministic System Dynamics is the classical form of System Dynamics introduced by Jay Forrester in 1961, using fixed (non-probabilistic) ordinary differential equations to simulate stock-and-flow structures and feedback loops over time. All model parameters and relationships are specified as single-valued constants or deterministic functions, yielding a single trajectory for each simulation run. It is widely used in policy analysis, business strategy, ecology, and public health modeling. |
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