@inproceedings{f727f635040948adbd18379c317b73d7,
title = "Adaptability of dynamic quality function deployment to the concept design of electric trucks: An attempt to knowledge management and data engineering",
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 engineering, EV, MoDAT, QFD, Quality",
author = "Masahiko Teramoto and Jun Nakamura",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 ; Conference date: 14-12-2014",
year = "2015",
month = jan,
day = "26",
doi = "10.1109/ICDMW.2014.171",
language = "English",
series = "IEEE International Conference on Data Mining Workshops, ICDMW",
publisher = "IEEE Computer Society",
number = "January",
pages = "496--502",
editor = "Zhi-Hua Zhou and Wei Wang and Ravi Kumar and Hannu Toivonen and Jian Pei and {Zhexue Huang}, Joshua and Xindong Wu",
booktitle = "Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014",
edition = "January",
}