方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 基于风险的统计过程控制× | 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≠ | 1920s (SPC foundations); risk-based integration formalized in 2000s–2010s | 1986 |
| 提出者≠ | Integrated from SPC (Shewhart, 1920s; Deming, 1950s) and risk analysis frameworks (FDA ICH Q10, ISO 31000) | Victor Kane |
| 类型≠ | Hybrid quality-risk engineering method | Quantitative process evaluation index |
| 开创性文献≠ | Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119399308 | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| 别名 | Risk-based SPC, RBSPC, risk-prioritized SPC, risk-informed process monitoring | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| 相关≠ | 6 | 2 |
| 摘要≠ | Risk-based statistical process control (Risk-based SPC) is an engineering quality method that integrates formal risk analysis — typically FMEA or a risk matrix — with statistical process monitoring to focus control chart resources on the process parameters that pose the greatest risk to product quality or system safety. Rather than applying control charts uniformly across all variables, risk-based SPC directs tighter monitoring toward high-risk, high-impact process characteristics identified through structured hazard prioritization. | 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. |
| ScholarGate数据集 ↗ |
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