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× | 六西格玛 DMAIC× | |
|---|---|---|
| 领域≠ | 实验设计 | 质量管理 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1920s (SPC foundations); risk-based integration formalized in 2000s–2010s | 2014 |
| 提出者≠ | Integrated from SPC (Shewhart, 1920s; Deming, 1950s) and risk analysis frameworks (FDA ICH Q10, ISO 31000) | Motorola; Pyzdek & Keller |
| 类型≠ | Hybrid quality-risk engineering method | Structured process improvement methodology |
| 开创性文献≠ | Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119399308 | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| 别名 | Risk-based SPC, RBSPC, risk-prioritized SPC, risk-informed process monitoring | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| 相关≠ | 6 | 3 |
| 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. | Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains. |
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