เปรียบเทียบวิธี

	การควบคุมกระบวนการเชิงสถิติ	Six Sigma DMAIC
สาขาวิชา	การออกแบบการทดลอง	การจัดการคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1924–1931	2014
ผู้ริเริ่ม	Walter A. Shewhart	Motorola; Pyzdek & Keller
ประเภท	Process monitoring and quality control method	Structured process improvement methodology
แหล่งต้นตำรับ	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
ชื่อเรียกอื่น	SPC, statistical quality control, process control charting, Shewhart control	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
ที่เกี่ยวข้อง	6	3
สรุป	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.	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.