Сравнение методов

	Гибридный анализ возможностей процесса	Шесть сигм DMAIC
Область	Планирование эксперимента	Управление качеством
Семейство	Process / pipeline	Process / pipeline
Год появления	1990s–2000s	2014
Автор метода	Various; systematised through extensions of Kane (1986) and Pearn, Kotz & Johnson (1992)	Motorola; Pyzdek & Keller
Тип	Quantitative process quality assessment	Structured process improvement methodology
Основополагающий источник	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
Другие названия	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
Связанные	6	3
Сводка	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.