• DocumentCode
    3471721
  • Title

    Method to embed information collection/utilization mechanism for recurrence prevention into product design process

  • Author

    Inoue, Miwaka ; Aoyama, Atsushi

  • Author_Institution
    Grad. Sch. of Technol. Manage., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2009
  • fDate
    2-6 Aug. 2009
  • Firstpage
    1983
  • Lastpage
    1988
  • Abstract
    As the competition among companies is intensified, the product design section is required to improve product features with shorter lead time and less cost. One of the most effective ways to reduce lead time and cost is to achieve perfect transition from design to manufacturing. An effective way to reduce trouble in transition from design to manufacturing is to prevent the recurrence of once experienced troubles. It is said that the 95 percents of troubles are experienced more than once. Traditionally, the functions of recurrence prevention have been organized and carried out by knowledge leaders. However, it is instable and inefficient because the quality of recurrent prevention is highly dependent on the quality of knowledge leader. This research proposes to embed information collection/utilization mechanism for recurrence prevention into product design process.
  • Keywords
    information management; knowledge management; product design; production engineering computing; failure relapse prevention; information collection; information utilization; knowledge leader; product design; product features; trouble recurrence prevention; Costs; Data mining; Design engineering; Knowledge management; Lead time reduction; Manufacturing; Process design; Product design; Product development; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-890843-20-5
  • Electronic_ISBN
    978-1-890843-20-5
  • Type

    conf

  • DOI
    10.1109/PICMET.2009.5261936
  • Filename
    5261936