Risk-Based Quality Function Deployment
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.
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Method map
The neighbourhood of related methods — select a node to explore.
Источники
- Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416
- Carnevalli, J. A., & Miguel, P. C. (2008). Review, analysis and classification of the literature on QFD — Types of research, difficulties and benefits. International Journal of Production Economics, 114(2), 737–754. DOI: 10.1016/j.ijpe.2008.03.006 ↗
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ScholarGate. (2026, June 3). Risk-Based Quality Function Deployment. ScholarGate. https://scholargate.app/ru/experimental-design/risk-based-quality-function-deployment
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Анализ видов и последствий отказов (FMEA)Планирование эксперимента↔ compare
- Анализ дерева отказов (Fault Tree Analysis, FTA)Надёжность↔ compare
- Развертывание функции качестваПланирование эксперимента↔ compare
- Анализ видов и последствий отказов на основе оценки рисков (RBFMEA)Планирование эксперимента↔ compare
- Робастное развертывание функций качестваПланирование эксперимента↔ compare
- Статистическое управление процессамиПланирование эксперимента↔ compare
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