Adaptability of dynamic quality function deployment to the concept design of electric trucks: An attempt to knowledge management and data engineering

Masahiko Teramoto, Jun Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Data Mining Workshops, ICDMW
PublisherIEEE Computer Society
Pages496-502
Number of pages7
Volume2015-January
EditionJanuary
DOIs
Publication statusPublished - 2015 Jan 26
Externally publishedYes
Event14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China
Duration: 2014 Dec 14 → …

Other

Other14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
CountryChina
CityShenzhen
Period14/12/14 → …

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Keywords

  • Data engineering
  • EV
  • MoDAT
  • QFD
  • Quality

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Teramoto, M., & Nakamura, J. (2015). Adaptability of dynamic quality function deployment to the concept design of electric trucks: An attempt to knowledge management and data engineering. In IEEE International Conference on Data Mining Workshops, ICDMW (January ed., Vol. 2015-January, pp. 496-502). [7022637] IEEE Computer Society. https://doi.org/10.1109/ICDMW.2014.171