Comparer des méthodes

	Planification d'Expériences	Maîtrise Statistique des Procédés
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1935	1924–1931
Auteur d'origine	Ronald A. Fisher	Walter A. Shewhart
Type	Experimental planning framework	Process monitoring and quality control method
Source fondatrice	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
Alias	DOE, experimental design, factorial experimentation, planned experimentation	SPC, statistical quality control, process control charting, Shewhart control
Apparentées	3	6
Résumé	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.	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.