手法を比較

	多変量プロセス監視のための多応答管理図	プロセス能力解析 (Cp, Cpk)
分野	実験計画法	統計学
系統	Process / pipeline	Process / pipeline
提唱年	1947 (Hotelling T²); 1980s–1990s (MEWMA, MCUSUM extensions)	1986
提唱者	Harold Hotelling (multivariate foundation); extended by Lowry, Woodall, and others	Victor Kane
種類	Multivariate statistical process monitoring	Quantitative process evaluation index
原典	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.
別名	multivariate control chart, multi-response SPC, MRCC, multiple-response monitoring chart	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
関連	6	2
概要	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.