방법 비교

	위험 기반 품질 기능 전개	통계적 공정 관리
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1990s–2000s (QFD: 1966–1972; risk-based extensions: ~1995–2010)	1924–1931
창시자	Yoji Akao (QFD foundation); risk integration developed by multiple authors in quality engineering literature from the 1990s onward	Walter A. Shewhart
유형	Structured quality planning method with integrated risk assessment	Process monitoring and quality control method
원전	Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
별칭	Risk-based QFD, QFD with risk analysis, FMEA-integrated QFD, risk-integrated House of Quality	SPC, statistical quality control, process control charting, Shewhart control
관련	6	6
요약	Risk-based quality function deployment (Risk-based QFD) integrates formal risk analysis — most commonly Failure Mode and Effects Analysis (FMEA) or risk matrices — into the classic QFD House of Quality framework. By weighting customer requirements and engineering characteristics against their associated failure risks, teams prioritise design and process decisions not only by customer importance but also by potential harm, regulatory exposure, or reliability impact. It is widely used in automotive, aerospace, medical device, and industrial product development.	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.