Comparer des méthodes

	Analyse hybride de la capabilité des processus	Six Sigma DMAIC
Domaine	Plans d'expériences	Gestion de la qualité
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s	2014
Auteur d'origine	Various; systematised through extensions of Kane (1986) and Pearn, Kotz & Johnson (1992)	Motorola; Pyzdek & Keller
Type	Quantitative process quality assessment	Structured process improvement methodology
Source fondatrice	Pearn, W. L., Kotz, S., & Johnson, N. L. (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology, 24(4), 216–231.	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Alias	hybrid PCA, integrated process capability analysis, combined capability index analysis, multi-method process capability assessment	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
Apparentées	6	3
Résumé	Hybrid 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.