Confronta i metodi

	Controllo Statistico di Processo Multi-Risposta	Analisi di Capacità di Processo (Cp, Cpk)
Campo	Disegno sperimentale	Statistica
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s	1986
Ideatore	Harold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & Young	Victor Kane
Tipo	Multivariate quality-monitoring procedure	Quantitative process evaluation index
Fonte seminale	Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800–810.	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
Alias	Multivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process control	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Correlati	6	2
Sintesi	Multi-response statistical process control (multivariate SPC) extends classical univariate control charting to processes where two or more correlated quality characteristics must be monitored simultaneously. By treating all responses as a joint distribution, it detects shifts that would be invisible when each response is charted independently, reducing false alarms and improving the sensitivity of process monitoring in manufacturing and service contexts.	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.