Bandingkan metode

	Statistical Process Control Multi-respons	Analisis Kapabilitas Proses (Cp, Cpk)
Bidang	Desain Eksperimen	Statistika
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s	1986
Pencetus	Harold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & Young	Victor Kane
Tipe	Multivariate quality-monitoring procedure	Quantitative process evaluation index
Sumber perintis	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.
Alias	Multivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process control	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Terkait	6	2
Ringkasan	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.