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	Carte de contrôle hybride	Diagramme de contrôle
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1982 (CUSUM-Shewhart hybrid); broader hybrid frameworks 1990s–2000s	1924 (first use); 1931 (seminal book)
Auteur d'origine	Developed incrementally; CUSUM-Shewhart hybrid attributed to Lucas & Crosier (1982) and prior work by Page (1954)	Walter A. Shewhart (Bell Labs)
Type	Statistical process monitoring procedure	Statistical monitoring and control technique
Source fondatrice	Lucas, J. M., & Crosier, R. B. (1982). Fast initial response for CUSUM quality-control schemes: Give your CUSUM a head start. Technometrics, 24(3), 199–205.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand.
Alias	combined control chart, hybrid SPC chart, composite control chart, integrated control chart	Shewhart chart, process-behavior chart, SPC chart, quality control chart
Apparentées	6	6
Résumé	A hybrid control chart integrates two or more classical charting schemes — most commonly a Shewhart chart with a CUSUM or EWMA chart — into a single monitoring procedure. By combining the strengths of each component, hybrid charts can detect both large, sudden shifts and small, sustained drifts in a process more effectively than any single chart alone. They are used in manufacturing quality control, healthcare monitoring, and any continuous process where rapid and sensitive detection of out-of-control conditions is critical.	A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time.