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Control Chart×실험계획법×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1924 (first use); 1931 (seminal book)1935
창시자Walter A. Shewhart (Bell Labs)Ronald A. Fisher
유형Statistical monitoring and control techniqueExperimental planning framework
원전Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
별칭Shewhart chart, process-behavior chart, SPC chart, quality control chartDOE, experimental design, factorial experimentation, planned experimentation
관련63
요약A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time.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.
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