Confronta i metodi

	Controllo statistico di processo assistito da simulazione	Analisi di Capacità di Processo (Cp, Cpk)
Campo	Disegno sperimentale	Statistica
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1920s (control charts); simulation integration from 1980s–1990s	1986
Ideatore	Walter A. Shewhart (control charts); simulation integration developed through work of W.H. Woodall, D.C. Montgomery and collaborators	Victor Kane
Tipo	Hybrid quality monitoring method	Quantitative process evaluation index
Fonte seminale	Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376–386.	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
Alias	simulation-based SPC, Monte Carlo control chart design, simulation-enhanced SPC, virtual control chart	Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Correlati	6	2
Sintesi	Simulation-assisted control chart integrates Monte Carlo or discrete-event simulation with traditional Shewhart-type control charting to design, validate, and optimize chart parameters before deployment on a real process. Rather than relying solely on assumed distributional forms, the practitioner builds a simulation model of the process, generates virtual data under in-control and out-of-control scenarios, and uses these runs to calibrate control limits, estimate average run length (ARL), and stress-test chart sensitivity — all without interrupting production.	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.