विधियों की तुलना करें

	बहु-प्रतिक्रिया सांख्यिकीय प्रक्रिया नियंत्रण	प्रक्रिया क्षमता विश्लेषण (Cp, Cpk)
क्षेत्र	प्रयोगात्मक अभिकल्प	सांख्यिकी
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s	1986
प्रवर्तक	Harold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & Young	Victor Kane
प्रकार	Multivariate quality-monitoring procedure	Quantitative process evaluation index
मौलिक स्रोत	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.
उपनाम	Multivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process control	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
संबंधित	6	2
सारांश	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.