পদ্ধতির তুলনা করুন

	Robust Control Chart	Robust Statistical Process Control
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1989–1997 (foundational period)	1989–1990s (formalized in peer-reviewed literature)
প্রবর্তক	David M. Rocke; L. G. Tatum (key contributors)	Rocke, D. M.; Tatum, L. G. (key contributors)
ধরন	Statistical process monitoring technique	Robust statistical monitoring framework
মৌলিক উৎস	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.
অপর নাম	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
সম্পর্কিত	6	5
সারসংক্ষেপ	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.