DocumentCode
243600
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
fYear
2014
fDate
14-14 Dec. 2014
Firstpage
496
Lastpage
502
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4799-4275-6
Type
conf
DOI
10.1109/ICDMW.2014.171
Filename
7022637
Link To Document