Process / pipelineEngineering methods
仿真辅助全因子设计 — 通过计算机仿真探索所有因子组合
仿真辅助全因子设计将全因子实验设计(DOE)与计算机仿真模型(如离散事件仿真、有限元分析或蒙特卡洛方法)相结合,系统地探索因子水平的每一种组合,并量化它们对系统响应的影响。它能够在物理试验成本高昂、危险或不可行的情况下进行全面的实验。
用 PaperMind 寻找选题即将推出Apply, compare, get guidance
Tools & resources
Learn & explore
视频即将推出
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
- Kleijnen, J. P. C. (2015). Design and Analysis of Simulation Experiments (2nd ed.). Springer. ISBN: 978-3319185668
如何引用本页
ScholarGate. (2026, June 3). Simulation-Assisted Full Factorial Design of Experiments. ScholarGate. https://scholargate.app/zh/experimental-design/simulation-assisted-full-factorial-design
选用哪种方法?
将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
并排比较 →被引用于
Similar methods
Simulation-assisted fractional factorial designSensitivity analysis-integrated full factorial designOptimization-assisted full factorial designFull Factorial ExperimentSimulation-assisted design of experimentsSimulation-assisted Box-Behnken designIndustrial applications full factorial designFull Factorial Design