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Robustna kontrolna karta×Statistička kontrola procesa×
PodručjeEksperimentalni dizajnEksperimentalni dizajn
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka1989–1997 (foundational period)1924–1931
TvoracDavid M. Rocke; L. G. Tatum (key contributors)Walter A. Shewhart
VrstaStatistical process monitoring techniqueProcess monitoring and quality control method
Temeljni izvorTatum, L. G. (1997). Robust estimation of the process standard deviation for control charts. Technometrics, 39(2), 127–141. DOI ↗Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
Drugi nazivirobust Shewhart chart, outlier-resistant control chart, robust SPC chart, distribution-free control chartSPC, statistical quality control, process control charting, Shewhart control
Srodne66
SažetakA 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.
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ScholarGateUsporedite metode: Robust Control Chart · Statistical Process Control. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare