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

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトルProceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
    編集者Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
    出版者IEEE Computer Society
    ページ496-502
    ページ数7
    エディションJanuary
    ISBN(電子版)9781479942749
    DOI
    出版物ステータスPublished - 2015 1 26
    イベント14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China
    継続期間: 2014 12 14 → …

    出版物シリーズ

    名前IEEE International Conference on Data Mining Workshops, ICDMW
    番号January
    2015-January
    ISSN(印刷物)2375-9232
    ISSN(電子版)2375-9259

    Other

    Other14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
    China
    Shenzhen
    期間14/12/14 → …

    ASJC Scopus subject areas

    • Computer Science Applications
    • Software

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  • これを引用

    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. : Z-H. Zhou, W. Wang, R. Kumar, H. Toivonen, J. Pei, J. Zhexue Huang, & X. Wu (版), Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 (January 版, pp. 496-502). [7022637] (IEEE International Conference on Data Mining Workshops, ICDMW; 巻数 2015-January, 番号 January). IEEE Computer Society. https://doi.org/10.1109/ICDMW.2014.171