方法证据记录
Risk-based statistical process control
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Risk-Based Statistical Process Control
分类方法记录 · process-pipeline / experimental-design
- Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. · ISBN 978-1119399308
- Statistical process control. Wikipedia. · URL
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