Salīdzināt metodes

	Daudzparametru vadības karte	Analīze "Process Capability Analysis" (Cp, Cpk)
Nozare	Eksperimentu plānošana	Statistika
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1947 (Hotelling T²); 1980s–1990s (MEWMA, MCUSUM extensions)	1986
Autors	Harold Hotelling (multivariate foundation); extended by Lowry, Woodall, and others	Victor Kane
Tips	Multivariate statistical process monitoring	Quantitative process evaluation index
Pirmavots	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.
Citi nosaukumi	multivariate control chart, multi-response SPC, MRCC, multiple-response monitoring chart	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Saistītās	6	2
Kopsavilkums	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.