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| Ανάλυση Ευαισθησίας με Διάγραμμα Ποιότητας (Quality Function Deployment)× | Ανάπτυξη Λειτουργίας Ποιότητας× | |
|---|---|---|
| Πεδίο | Πειραματικός Σχεδιασμός | Πειραματικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1990s–2000s (integration period) | 1966 (Japan); popularised in the West ~1988 |
| Δημιουργός≠ | Yoji Akao (QFD foundation); sensitivity extension attributed to multiple QFD researchers (1990s–2000s) | Yoji Akao |
| Τύπος≠ | Integrated engineering design and decision analysis technique | Structured quality planning and product design method |
| Θεμελιώδης πηγή≠ | Fung, R. Y. K., Tang, J., Tu, Y., & Wang, D. (2006). Product design resources optimization using a non-linear fuzzy quality function deployment model. International Journal of Production Research, 44(12), 2483–2504. link ↗ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Εναλλακτικές ονομασίες | SA-QFD, QFD sensitivity analysis, robust QFD, House of Quality sensitivity analysis | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Συναφείς≠ | 2 | 4 |
| Σύνοψη≠ | Sensitivity analysis integrated with Quality Function Deployment (QFD) tests how stable the prioritization of engineering characteristics remains when customer requirement weights or relationship matrix scores are varied. By systematically perturbing the inputs of the House of Quality, teams identify which design parameters are truly critical and which rankings would flip under different assumptions — turning QFD from a one-shot prioritization tool into a robust decision framework. | 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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