手法を比較

	統計的プロセス管理	実験計画法
分野	実験計画法	実験計画法
系統	Process / pipeline	Process / pipeline
提唱年	1924–1931	1935
提唱者	Walter A. Shewhart	Ronald A. Fisher
種類	Process monitoring and quality control method	Experimental planning framework
原典	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.
別名	SPC, statistical quality control, process control charting, Shewhart control	DOE, experimental design, factorial experimentation, planned experimentation
関連	6	3
概要	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.