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	Wykres kontrolny hybrydowy	Projektowanie Doświadczeń
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1982 (CUSUM-Shewhart hybrid); broader hybrid frameworks 1990s–2000s	1935
Twórca	Developed incrementally; CUSUM-Shewhart hybrid attributed to Lucas & Crosier (1982) and prior work by Page (1954)	Ronald A. Fisher
Typ	Statistical process monitoring procedure	Experimental planning framework
Źródło pierwotne	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.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Inne nazwy	combined control chart, hybrid SPC chart, composite control chart, integrated control chart	DOE, experimental design, factorial experimentation, planned experimentation
Pokrewne	6	3
Podsumowanie	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.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.