Confronta i metodi

	Controllo Statistico di Processo	Design of Experiments
Campo	Disegno sperimentale	Disegno sperimentale
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1924–1931	1935
Ideatore	Walter A. Shewhart	Ronald A. Fisher
Tipo	Process monitoring and quality control method	Experimental planning framework
Fonte seminale	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Alias	SPC, statistical quality control, process control charting, Shewhart control	DOE, experimental design, factorial experimentation, planned experimentation
Correlati	6	3
Sintesi	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.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.