方法对比
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| 贝叶斯控制图× | 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≠ | Formally developed in the 1990s–2000s; roots in Shewhart (1924) | 1986 |
| 提出者≠ | Ulrich Menzefricke and others building on Shewhart (1924) and Bayesian inference (Bayes, 1763) | Victor Kane |
| 类型≠ | Statistical process monitoring / quality control | Quantitative process evaluation index |
| 开创性文献≠ | Menzefricke, U. (2002). On the evaluation of control chart limits based on predictive distributions. Communications in Statistics — Theory and Methods, 31(8), 1423–1440. DOI ↗ | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| 别名 | Bayesian SPC chart, Bayesian monitoring chart, posterior control chart, Bayesian Shewhart chart | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| 相关≠ | 6 | 2 |
| 摘要≠ | A Bayesian control chart integrates prior knowledge about a process — such as historical mean and variance — with incoming measurement data to produce dynamically updated control limits. Unlike classical Shewhart charts that fix limits from a Phase-I baseline, Bayesian charts update the posterior distribution of process parameters after each sample, yielding limits that adapt to accumulated evidence and are better calibrated under small sample sizes or non-stationary processes. | 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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