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Risk-based Six Sigma DMAIC×Six Sigma DMAIC×
DziedzinaPlanowanie eksperymentówZarządzanie jakością
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1990s–2000s2014
TwórcaMotorola (Six Sigma, 1986); risk integration formalized in quality engineering literature from the 1990s onwardMotorola; Pyzdek & Keller
TypProcess improvement methodology with embedded risk assessmentStructured process improvement methodology
Źródło pierwotneDe Mast, J., & Lokkerbol, J. (2012). An analysis of the Six Sigma DMAIC method from the perspective of problem solving. International Journal of Production Economics, 139(2), 604–614. DOI ↗Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Inne nazwyRisk-integrated DMAIC, DMAIC with risk analysis, Risk-aware Six Sigma, RB-DMAICDMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
Pokrewne63
PodsumowanieRisk-based Six Sigma DMAIC embeds structured risk assessment — typically failure mode and effects analysis (FMEA), risk priority numbers (RPN), or probabilistic risk tools — at each stage of the standard DMAIC cycle. The goal is not only to reduce defects and variation but to prioritize improvement actions by their risk consequence, ensuring that critical failure modes are addressed before less impactful ones. It is widely applied in manufacturing, healthcare, aerospace, and process industries where both quality and safety are at stake.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.
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