방법 비교

	강건 통계적 공정 관리	Robust Control Chart
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1989–1990s (formalized in peer-reviewed literature)	1989–1997 (foundational period)
창시자	Rocke, D. M.; Tatum, L. G. (key contributors)	David M. Rocke; L. G. Tatum (key contributors)
유형	Robust statistical monitoring framework	Statistical process monitoring technique
원전	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.
별칭	Robust SPC, Resistant SPC, Outlier-robust process monitoring, Robust process surveillance	robust Shewhart chart, outlier-resistant control chart, robust SPC chart, distribution-free control chart
관련	5	6
요약	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.	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.