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| Risk-Based Quality Function Deployment× | Quality Function Deployment× | |
|---|---|---|
| Ämnesområde | Försöksplanering | Försöksplanering |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 1990s–2000s (QFD: 1966–1972; risk-based extensions: ~1995–2010) | 1966 (Japan); popularised in the West ~1988 |
| Upphovsperson≠ | Yoji Akao (QFD foundation); risk integration developed by multiple authors in quality engineering literature from the 1990s onward | Yoji Akao |
| Typ≠ | Structured quality planning method with integrated risk assessment | Structured quality planning and product design method |
| Ursprungskälla≠ | Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416 | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Alias | Risk-based QFD, QFD with risk analysis, FMEA-integrated QFD, risk-integrated House of Quality | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Närliggande≠ | 6 | 4 |
| Sammanfattning≠ | 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. | Quality Function Deployment (QFD) is a structured method for translating customer needs — the voice of the customer — into specific technical requirements at every stage of product or service development. Originating in Japan in the 1960s, QFD uses a matrix-based tool called the House of Quality to make customer priorities visible, link them to engineering parameters, expose trade-offs, and maintain focus on what customers actually value throughout the design process. |
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