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	Wykres kontrolny hybrydowy	Six Sigma DMAIC
Dziedzina	Planowanie eksperymentów	Zarządzanie jakością
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1982 (CUSUM-Shewhart hybrid); broader hybrid frameworks 1990s–2000s	2014
Twórca	Developed incrementally; CUSUM-Shewhart hybrid attributed to Lucas & Crosier (1982) and prior work by Page (1954)	Motorola; Pyzdek & Keller
Typ	Statistical process monitoring procedure	Structured process improvement methodology
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.	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Inne nazwy	combined control chart, hybrid SPC chart, composite control chart, integrated control chart	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
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.	Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.