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Hübriidne protsessivõimekuse analüüs×Six Sigma DMAIC×
ValdkondKatsedisainKvaliteedijuhtimine
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta1990s–2000s2014
LoojaVarious; systematised through extensions of Kane (1986) and Pearn, Kotz & Johnson (1992)Motorola; Pyzdek & Keller
TüüpQuantitative process quality assessmentStructured process improvement methodology
AlgallikasPearn, W. L., Kotz, S., & Johnson, N. L. (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology, 24(4), 216–231. DOI ↗Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Rööpnimetusedhybrid PCA, integrated process capability analysis, combined capability index analysis, multi-method process capability assessmentDMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
Seotud63
KokkuvõteHybrid process capability analysis combines two or more capability assessment techniques — for example, classical indices (Cp, Cpk) with fuzzy logic, bootstrap inference, or Bayesian estimation — to overcome the limitations of any single approach. By integrating complementary methods, it delivers more robust capability statements for non-normal, asymmetric, or short-run processes where standard indices alone would mislead quality decisions.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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ScholarGateVõrdle meetodeid: Hybrid process capability analysis · Six Sigma DMAIC. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare