首页|Network-based - Quality Function Deployment (NB-QFD): The combination of traditional QFD with network science approach and techniques
Network-based - Quality Function Deployment (NB-QFD): The combination of traditional QFD with network science approach and techniques
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
This paper aims to introduce a possible way of applying network science in Quality Function Deployment by supporting a CNC machine tool development project. Our central thesis was that by extending the QFD methodology with network assessment techniques, product developers could make more established decisions. Our work has started with an online survey, in which participants were asked to define and rank general requirements for CNC machines. Then some of the essential technical parameters were described by CNC experts. Finally, the answers' evaluation was then performed using traditional QFD methodology and the one combined with network research. We showed that the newly developed network-based QFD method offers better visualization of the matrixes. We proved by introducing new indicators such as the significance, sensitivity, and influence of the technical parameters that, also considering the correlation between the technical parameters when calculating their importance, the directions for development can be defined more precisely. Based on the results, we concluded that Network-Based - QFD could support the setting of development goals with a much more detailed analysis. (C) 2021 The Author(s). Published by Elsevier B.V.
NSTL
Elsevier
