方法对比

	稳健控制图	稳健统计过程控制
领域	实验设计	实验设计
方法族	Process / pipeline	Process / pipeline
起源年份	1989–1997 (foundational period)	1989–1990s (formalized in peer-reviewed literature)
提出者	David M. Rocke; L. G. Tatum (key contributors)	Rocke, D. M.; Tatum, L. G. (key contributors)
类型	Statistical process monitoring technique	Robust statistical monitoring framework
开创性文献	Tatum, L. G. (1997). Robust estimation of the process standard deviation for control charts. Technometrics, 39(2), 127–141.	Tatum, L. G. (1997). Robust estimation of the process standard deviation for control charts. Technometrics, 39(2), 127–141.
别名	robust Shewhart chart, outlier-resistant control chart, robust SPC chart, distribution-free control chart	Robust SPC, Resistant SPC, Outlier-robust process monitoring, Robust process surveillance
相关	6	5
摘要	A robust control chart replaces the classical mean and standard deviation estimators in a Shewhart-style chart with resistant alternatives — such as the median and median absolute deviation (MAD) — so that a small fraction of outliers or non-normal process data cannot distort the control limits. The approach preserves the real-time monitoring logic of standard control charts while protecting against inflated or deflated limits caused by contaminated Phase I reference data.	Robust Statistical Process Control (Robust SPC) is an engineering quality-monitoring framework that replaces the classical mean and standard deviation estimators used in Shewhart-type control charts with outlier-resistant alternatives — such as the median, MAD, or trimmed statistics — so that isolated contaminating observations or non-normal process distributions do not inflate control limits and mask genuine process shifts.