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	मजबूत सांख्यिकीय प्रक्रिया नियंत्रण (Robust Statistical Process Control)	Robust Control Chart
क्षेत्र	प्रयोगात्मक अभिकल्प	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1989–1990s (formalized in peer-reviewed literature)	1989–1997 (foundational period)
प्रवर्तक	Rocke, D. M.; Tatum, L. G. (key contributors)	David M. Rocke; L. G. Tatum (key contributors)
प्रकार	Robust statistical monitoring framework	Statistical process monitoring technique
मौलिक स्रोत	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.
उपनाम	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
संबंधित	5	6
सारांश	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.