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Wielowymiarowa statystyczna kontrola procesu×Analiza zdolności procesu (Cp, Cpk)×
DziedzinaPlanowanie eksperymentówStatystyka
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s1986
TwórcaHarold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & YoungVictor Kane
TypMultivariate quality-monitoring procedureQuantitative process evaluation index
Źródło pierwotneLowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800–810. DOI ↗Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗
Inne nazwyMultivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process controlProcess Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Pokrewne62
PodsumowanieMulti-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.
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ScholarGatePorównaj metody: Multi-response statistical process control · Process Capability Analysis. Pobrano 2026-06-15 z https://scholargate.app/pl/compare