مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| استقرار کارکرد کیفیت با کمک شبیهسازی× | روش سطح پاسخ (RSM)× | |
|---|---|---|
| حوزه | طراحی آزمایش | طراحی آزمایش |
| خانواده≠ | Process / pipeline | Hypothesis test |
| سال پیدایش≠ | 1990s–2000s (QFD: 1966; simulation integration: ~1995–2005) | 1951 |
| پدیدآور≠ | Yoji Akao (QFD foundation); simulation integration developed by engineering researchers in 1990s–2000s | George E. P. Box & K. B. Wilson |
| نوع≠ | Hybrid engineering design and quality planning method | Second-order polynomial response surface model |
| منبع بنیادین≠ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 | Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45. link ↗ |
| نامهای دیگر≠ | SA-QFD, simulation-integrated QFD, simulation-driven house of quality, QFD with simulation | RSM, Central Composite Design, Box-Behnken Design, CCD |
| مرتبط≠ | 6 | 7 |
| خلاصه≠ | Simulation-assisted quality function deployment (SA-QFD) integrates computational simulation into the classic QFD framework to replace or supplement costly physical prototypes when evaluating how engineering design decisions satisfy customer requirements. By embedding simulation models — such as finite element analysis, discrete-event simulation, or system dynamics — within the House of Quality matrix, engineers can rapidly quantify the impact of technical characteristics on customer satisfaction and iteratively refine design priorities before committing to production. | Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics. |
| ScholarGateمجموعهداده ↗ |
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