Сравнение на методи

	Устойчива контролна карта	Устойчив статистически контрол на процесите
Област	Планиране на експеримента	Планиране на експеримента
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1989–1997 (foundational period)	1989–1990s (formalized in peer-reviewed literature)
Създател	David M. Rocke; L. G. Tatum (key contributors)	Rocke, D. M.; Tatum, L. G. (key contributors)
Тип	Statistical process monitoring technique	Robust statistical monitoring framework
Основополагащ източник	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.
Други названия	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
Свързани	6	5
Резюме	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.