Title :
Adaptability of Dynamic Quality Function Deployment to the Concept Design of Electric Trucks: An Attempt to Knowledge Management and Data Engineering
Author :
Teramoto, Masahiko ; Nakamura, Jun
Author_Institution :
ex-Volvo Group Trucks Technol. Adv. Technol. & Res., Yokohama, Japan
Abstract :
At the IEEE ICDM2013, we applied the dynamic quality function deployment (DQFD) concept to electric truck design. In this paper we introduce the ideas of "concept design" and "range parameter" into DQFD to resolve the conflict between customer requirements and design constraints. To accurately specify the driving range on the highway, we require data, such as average traffic speed, from which we can estimate the air drag. However, these data should be determined by the professional knowledge of traffic or transport operators rather than by an automotive supplier. We posit that the Market of DATA is a worthy mechanism if it abides by this request.
Keywords :
data handling; design engineering; electric vehicles; knowledge management; quality function deployment; traffic engineering computing; DQFD; IEEE ICDM2013; automotive supplier; data engineering; dynamic quality function deployment; electric truck concept design; highway driving range; knowledge management; traffic; Cities and towns; Force; Linear programming; Road transportation; Sensitivity; Vehicle dynamics; Vehicles; Data engineering; EV; MoDAT; QFD; Quality;
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
DOI :
10.1109/ICDMW.2014.171