方法对比
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| 仿真辅助控制图× | 蒙特卡洛模拟× | |
|---|---|---|
| 领域≠ | 实验设计 | 决策 |
| 方法族≠ | Process / pipeline | MCDM |
| 起源年份≠ | 1920s (control charts); simulation integration from 1980s–1990s | 1949 |
| 提出者≠ | Walter A. Shewhart (control charts); simulation integration developed through work of W.H. Woodall, D.C. Montgomery and collaborators | Metropolis, N., Ulam, S. |
| 类型≠ | Hybrid quality monitoring method | Robustness wrapper — Monte Carlo uncertainty propagation |
| 开创性文献≠ | Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376–386. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| 别名≠ | simulation-based SPC, Monte Carlo control chart design, simulation-enhanced SPC, virtual control chart | — |
| 相关≠ | 6 | 0 |
| 摘要≠ | Simulation-assisted control chart integrates Monte Carlo or discrete-event simulation with traditional Shewhart-type control charting to design, validate, and optimize chart parameters before deployment on a real process. Rather than relying solely on assumed distributional forms, the practitioner builds a simulation model of the process, generates virtual data under in-control and out-of-control scenarios, and uses these runs to calibrate control limits, estimate average run length (ARL), and stress-test chart sensitivity — all without interrupting production. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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