השוואת שיטות

	תרשים בקרה חסין	בקרת תהליכים סטטיסטית רובסטית
תחום	תכנון ניסויים	תכנון ניסויים
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1989–1997 (foundational period)	1989–1990s (formalized in peer-reviewed literature)
הוגה השיטה	David M. Rocke; L. G. Tatum (key contributors)	Rocke, D. M.; Tatum, L. G. (key contributors)
סוג	Statistical process monitoring technique	Robust statistical monitoring framework
מקור מכונן	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.
כינויים	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
קשורות	6	5
תקציר	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.