Comparer des méthodes

	Analyse de Capabilité des Processus Basée sur le Risque	Analyse de la Capabilité des Processus (Cp, Cpk)
Domaine	Plans d'expériences	Statistique
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (formal integration with risk analysis)	1986
Auteur d'origine	Evolved from classical capability indices (Juran, Kane) integrated with risk frameworks (FMEA, ISO 9001)	Victor Kane
Type	Quantitative quality engineering method	Quantitative process evaluation index
Source fondatrice	Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119399308	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
Alias	RBPCA, risk-adjusted capability analysis, capability-risk integration, risk-informed SPC	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Apparentées	4	2
Résumé	Risk-based Process Capability Analysis (RBPCA) combines classical process capability indices (Cp, Cpk, Pp, Ppk) with structured risk assessment tools — such as FMEA risk priority numbers — to prioritise improvement actions not merely by how capable a process is, but by the potential harm its failures can cause. The approach is widely used in automotive, aerospace, medical device, and pharmaceutical manufacturing to align quality engineering decisions with risk management requirements.	Process Capability Analysis quantifies how well a manufacturing or business process produces output within specified tolerance limits. Introduced formally by Victor Kane in 1986, it summarises process spread and centering into dimensionless indices — most notably Cp and Cpk — allowing engineers and quality managers to judge whether a stable process is inherently capable of meeting customer or design specifications consistently.