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Багатовимірний статистичний контроль процесів×Аналіз придатності процесу (Cp, Cpk)×
ГалузьПланування експериментуСтатистика
РодинаProcess / pipelineProcess / pipeline
Рік появи1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s1986
Автор методуHarold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & YoungVictor Kane
ТипMultivariate quality-monitoring procedureQuantitative process evaluation index
Основоположне джерелоLowry, 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 ↗
Інші назвиMultivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process controlProcess Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Пов'язані62
ПідсумокMulti-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.
ScholarGateНабір даних
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  3. PUBLISHED
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ScholarGateПорівняння методів: Multi-response statistical process control · Process Capability Analysis. Отримано 2026-06-15 з https://scholargate.app/uk/compare