方法对比
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| 基于风险的统计过程控制× | 控制图× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1920s (SPC foundations); risk-based integration formalized in 2000s–2010s | 1924 (first use); 1931 (seminal book) |
| 提出者≠ | Integrated from SPC (Shewhart, 1920s; Deming, 1950s) and risk analysis frameworks (FDA ICH Q10, ISO 31000) | Walter A. Shewhart (Bell Labs) |
| 类型≠ | Hybrid quality-risk engineering method | Statistical monitoring and control technique |
| 开创性文献≠ | Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119399308 | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗ |
| 别名 | Risk-based SPC, RBSPC, risk-prioritized SPC, risk-informed process monitoring | Shewhart chart, process-behavior chart, SPC chart, quality control chart |
| 相关 | 6 | 6 |
| 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. | A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time. |
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