Methoden vergelijken

	Multi-response Control Chart	Procesbekwaamheidsanalyse (Cp, Cpk)
Vakgebied	Experimenteel ontwerp	Statistiek
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	1947 (Hotelling T²); 1980s–1990s (MEWMA, MCUSUM extensions)	1986
Grondlegger	Harold Hotelling (multivariate foundation); extended by Lowry, Woodall, and others	Victor Kane
Type	Multivariate statistical process monitoring	Quantitative process evaluation index
Oorspronkelijke bron	Hotelling, H. (1947). Multivariate quality control illustrated by the air testing of sample bombsights. In C. Eisenhart, M. W. Hastay, & W. A. Wallis (Eds.), Techniques of Statistical Analysis (pp. 111–184). McGraw-Hill.	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
Aliassen	multivariate control chart, multi-response SPC, MRCC, multiple-response monitoring chart	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Verwant	6	2
Samenvatting	A multi-response control chart simultaneously monitors two or more correlated quality characteristics on a single chart, preserving the correlation structure that univariate charts ignore. Built on Hotelling's T² statistic and its time-weighted extensions (MEWMA, MCUSUM), it detects process shifts that would be missed if each response were charted independently. It is the standard tool in manufacturing and service quality when product performance depends on multiple interrelated outputs.	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.