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	Wytrzymałe statystyczne sterowanie procesem	Wykres kontrolny odporny (Robust Control Chart)
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1989–1990s (formalized in peer-reviewed literature)	1989–1997 (foundational period)
Twórca	Rocke, D. M.; Tatum, L. G. (key contributors)	David M. Rocke; L. G. Tatum (key contributors)
Typ	Robust statistical monitoring framework	Statistical process monitoring technique
Źródło pierwotne	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.
Inne nazwy	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
Pokrewne	5	6
Podsumowanie	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.