השוואת שיטות

	תרשים בקרה חסין	בקרת תהליכים סטטיסטית
תחום	תכנון ניסויים	תכנון ניסויים
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1989–1997 (foundational period)	1924–1931
הוגה השיטה	David M. Rocke; L. G. Tatum (key contributors)	Walter A. Shewhart
סוג	Statistical process monitoring technique	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 Shewhart chart, outlier-resistant control chart, robust SPC chart, distribution-free control chart	SPC, statistical quality control, process control charting, Shewhart control
קשורות	6	6
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.	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.