방법 비교

	Control Chart	Six Sigma DMAIC
분야	실험설계	품질경영
계열	Process / pipeline	Process / pipeline
기원 연도	1924 (first use); 1931 (seminal book)	2014
창시자	Walter A. Shewhart (Bell Labs)	Motorola; Pyzdek & Keller
유형	Statistical monitoring and control technique	Structured process improvement methodology
원전	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand.	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
별칭	Shewhart chart, process-behavior chart, SPC chart, quality control chart	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
관련	6	3
요약	A 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.	Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.