Usporedite metode

	Statistička kontrola procesa	Analiza sposobnosti procesa (Cp, Cpk)
Područje	Eksperimentalni dizajn	Statistika
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1924–1931	1986
Tvorac	Walter A. Shewhart	Victor Kane
Vrsta	Process monitoring and quality control method	Quantitative process evaluation index
Temeljni izvor	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
Drugi nazivi	SPC, statistical quality control, process control charting, Shewhart control	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Srodne	6	2
Sažetak	Statistical Process Control (SPC) is a data-driven quality method that uses statistical techniques — primarily control charts — to monitor a manufacturing or service process over time. By distinguishing natural process variation (common cause) from unusual, actionable variation (special cause), SPC enables practitioners to maintain processes in a stable, predictable state and to detect problems early, before defective output reaches customers.	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.