• DocumentCode
    1744703
  • Title

    Architecture of product family for mass customization

  • Author

    Du, Xuehong ; Jiao, Jianxin ; Tseng, Mitchell M.

  • Author_Institution
    Dept. of Ind. Eng. & Eng. Manage., Hong Kong Univ. of Sci. & Technol., China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    437
  • Abstract
    The rationale of developing product families with respect to mass customization has been well recognized in both industry and academia. This paper investigates the concept of architecture of product family (APF). Fundamental issues underlying the APF are discussed. Common bases, differentiation enablers and configuration mechanisms from both sales and engineering views are defined. Variety generation methods with regard to producing custom products based on the modular product architecture are introduced. To represent a family of products instead of a collection of individual products, a general product structure (GPS) is proposed. Accordingly, family based product design is studied. The APF and the associated GPS capture both compositional and generative aspects of product family design, thus providing the constructs for generating product variants automatically
  • Keywords
    product development; research and development management; R&D management; configuration mechanisms; custom products development; differentiation enablers; engineering; general product structure; mass customization; product family architecture; variety generation methods; Global Positioning System; Industrial engineering; Marketing and sales; Mass customization; Mass production; Process design; Product design; Production engineering; Research and development management; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology, 2000. ICMIT 2000. Proceedings of the 2000 IEEE International Conference on
  • Print_ISBN
    0-7803-6652-2
  • Type

    conf

  • DOI
    10.1109/ICMIT.2000.917377
  • Filename
    917377