השוואת שיטות

	בקרת תהליכים סטטיסטית רובסטית	בקרת תהליכים סטטיסטית
תחום	תכנון ניסויים	תכנון ניסויים
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1989–1990s (formalized in peer-reviewed literature)	1924–1931
הוגה השיטה	Rocke, D. M.; Tatum, L. G. (key contributors)	Walter A. Shewhart
סוג	Robust statistical monitoring framework	Process monitoring and quality control method
מקור מכונן	Tatum, L. G. (1997). Robust estimation of the process standard deviation for control charts. Technometrics, 39(2), 127–141.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
כינויים	Robust SPC, Resistant SPC, Outlier-robust process monitoring, Robust process surveillance	SPC, statistical quality control, process control charting, Shewhart control
קשורות	5	6
תקציר	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.	Statistical Process Control (SPC) is a data-driven quality method that uses statistical techniques — primarily control charts — to monitor a manufacturing or service process over time. By distinguishing natural process variation (common cause) from unusual, actionable variation (special cause), SPC enables practitioners to maintain processes in a stable, predictable state and to detect problems early, before defective output reaches customers.