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| Simulation-Assisted Process Capability Analysis× | 过程能力分析 (Cp, Cpk)× | |
|---|---|---|
| 领域≠ | 实验设计 | 统计学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1980s–1990s (mature practice by mid-1990s) | 1986 |
| 提出者≠ | Developed through integration of Monte Carlo simulation with classical capability indices (Juran, Kane, Kotz and colleagues) | Victor Kane |
| 类型≠ | Quantitative engineering quality method | Quantitative process evaluation index |
| 开创性文献≠ | Kotz, S., & Lovelace, C. R. (1998). Process Capability Indices in Theory and Practice. Arnold. ISBN: 978-0340691281 | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| 别名 | Monte Carlo process capability, simulation-based Cpk analysis, stochastic capability analysis, virtual process capability study | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| 相关≠ | 6 | 2 |
| 摘要≠ | Simulation-assisted process capability analysis combines Monte Carlo simulation with classical capability indices (Cp, Cpk, Cpm) to evaluate whether a process can consistently meet specification limits when direct measurement is costly, dangerous, or impractical. By propagating input distributions through a process model, the analyst obtains a simulated output distribution and derives capability metrics without waiting for physical production runs. The approach is especially valuable during product design, process scale-up, and tolerance stack-up studies. | Process Capability Analysis quantifies how well a manufacturing or business process produces output within specified tolerance limits. Introduced formally by Victor Kane in 1986, it summarises process spread and centering into dimensionless indices — most notably Cp and Cpk — allowing engineers and quality managers to judge whether a stable process is inherently capable of meeting customer or design specifications consistently. |
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