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| Επεκτατική Ανάπτυξη Ποιότητας (Robust Quality Function Deployment)× | Ανάπτυξη Λειτουργίας Ποιότητας× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s (robust extensions of QFD originating 1966) | 1966 (Japan); popularised in the West ~1988 |
| Δημιουργός≠ | Extension of Yoji Akao's QFD (1966); robust adaptation by Fung, Kwong and others (early 2000s) | Yoji Akao |
| Τύπος≠ | Hybrid quality-engineering planning method | Structured quality planning and product design method |
| Θεμελιώδης πηγή≠ | Fung, R. Y. K., Tang, J., & Tu, Y. (2002). Modeling of quality function deployment planning under resource allocation constraints. Computers & Industrial Engineering, 43(1–2), 313–328. link ↗ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Εναλλακτικές ονομασίες | Robust QFD, Uncertainty-tolerant QFD, Fuzzy-robust QFD, Robust House of Quality | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | Robust Quality Function Deployment (Robust QFD) extends the classical House of Quality framework by explicitly modeling uncertainty and variability in customer requirements, perception ratings, and engineering correlation judgments. Instead of treating inputs as crisp single-point values, it applies fuzzy sets, interval analysis, or Taguchi-inspired robustness techniques to ensure that the resulting design targets remain stable and customer-satisfying even when inputs are imprecise or fluctuating. | 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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