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| Hybrydowe Rozmieszczenie Funkcji Jakości× | Quality Function Deployment× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1966 (QFD foundation); hybrid variants from mid-1990s onward | 1966 (Japan); popularised in the West ~1988 |
| Twórca≠ | Yoji Akao (QFD foundation); hybrid extensions by various authors integrating fuzzy sets, AHP, TOPSIS, and optimization | Yoji Akao |
| Typ≠ | Integrated engineering design and decision method | Structured quality planning and product design method |
| Źródło pierwotne | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Inne nazwy | Hybrid QFD, Integrated QFD, QFD hybrid approach, Extended Quality Function Deployment | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | Hybrid Quality Function Deployment (Hybrid QFD) extends the classic House of Quality framework by embedding additional analytical techniques — such as fuzzy set theory, Analytic Hierarchy Process, TOPSIS, or optimization algorithms — directly into the QFD pipeline. This integration addresses known weaknesses of standard QFD, such as imprecision in customer ratings and subjectivity in relationship matrices, while preserving the method's core strength: systematically translating the voice of the customer into actionable engineering specifications. | 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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