方法对比
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| 多响应统计过程控制× | 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≠ | 1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s | 1986 |
| 提出者≠ | Harold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & Young | Victor Kane |
| 类型≠ | Multivariate quality-monitoring procedure | Quantitative process evaluation index |
| 开创性文献≠ | Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800–810. DOI ↗ | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| 别名 | Multivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process control | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| 相关≠ | 6 | 2 |
| 摘要≠ | Multi-response statistical process control (multivariate SPC) extends classical univariate control charting to processes where two or more correlated quality characteristics must be monitored simultaneously. By treating all responses as a joint distribution, it detects shifts that would be invisible when each response is charted independently, reducing false alarms and improving the sensitivity of process monitoring in manufacturing and service contexts. | 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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