Salīdzināt metodes

	Daudzreakciju statistiskā procesa vadība	Analīze "Process Capability Analysis" (Cp, Cpk)
Nozare	Eksperimentu plānošana	Statistika
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s	1986
Autors	Harold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & Young	Victor Kane
Tips	Multivariate quality-monitoring procedure	Quantitative process evaluation index
Pirmavots	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.
Citi nosaukumi	Multivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process control	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Saistītās	6	2
Kopsavilkums	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.