Process / pipelineEngineering methods
混合统计过程控制 — 组合SPC
混合统计过程控制将经典的控制图方法（Shewhart、CUSUM、EWMA）与互补技术（如神经网络、模糊逻辑、经济设计或多元统计）相结合，比任何单一方法都能更有效地监控和控制制造或服务过程。混合架构解决了传统SPC的已知弱点，包括对小偏移检测缓慢、模式识别能力有限以及无法处理非正态或自相关数据。
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来源
- Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed.). Wiley. ISBN: 978-0-470-16992-6
- Guh, R.-S., & Hsieh, Y.-C. (2008). A Neural Network-Based Model for Abnormal Pattern Recognition of Control Charts. Computers and Industrial Engineering, 35(1–2), 35–38. link ↗
如何引用本页
ScholarGate. (2026, June 3). Hybrid Statistical Process Control. ScholarGate. https://scholargate.app/zh/experimental-design/hybrid-statistical-process-control
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