Process / pipelineEngineering methods
仿真辅助控制图 — 蒙特卡洛设计的混合SPC
仿真辅助控制图将蒙特卡洛（Monte Carlo）或离散事件仿真与传统休哈特（Shewhart）型控制图相结合，用于在部署到实际过程之前设计、验证和优化控制图参数。它不完全依赖于假定的分布形式，而是由实践者构建过程的仿真模型，在受控和失控情景下生成虚拟数据，并利用这些运行来校准控制限、估计平均运行长度（ARL）以及压力测试控制图的灵敏度——所有这些都无需中断生产。
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来源
- Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376–386. DOI: 10.1080/00224065.1999.11979944 ↗
- Montgomery, D. C. (2009). Statistical Quality Control: A Modern Introduction (6th ed.). Wiley. ISBN: 978-0470169926
如何引用本页
ScholarGate. (2026, June 3). Simulation-Assisted Statistical Process Control Chart. ScholarGate. https://scholargate.app/zh/experimental-design/simulation-assisted-control-chart
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.
- 控制图实验设计↔ compare
- 蒙特卡洛模拟决策↔ compare
- 过程能力分析 (Cp, Cpk)统计学↔ compare
- Simulation-Assisted Statistical Process Control实验设计↔ compare
- 六西格玛 DMAIC质量管理↔ compare
- 统计过程控制实验设计↔ compare