• DocumentCode
    2201159
  • Title

    Bounded Rationality Modeling in CAID

  • Author

    Wu Kan ; Liu Fang ; Lu Chang-de ; Yang Xi-hui

  • Author_Institution
    Inst. of Ind. Design, Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Differences in the perceptions of the products modeling between the clients and the designers is common thing in product design. The bounded rationality gives reasonable explanation that because of user´s the limited cognitive abilities and quantity of information they hold. In order to establish a multi-perception product model and design system, the user´s bounded rationality must be taken into account. This paper proposes a product design method which based on the user bounded rationality. A network surveying based on multi-perception image is firstly created to carry out.Then, essential elements to product modelling were recognized and sort out with qualitative analysis, as well as the corresponding relationship between the product design and a number of the multi-perception factors obtained through the second investigating. Based on this, the product design knowledge repository can thereby be established, and feature model identified through studying the user´s multi-perception image can help designer to improve the success rate of design proposals.
  • Keywords
    cognition; computer integrated manufacturing; product design; production engineering computing; user centred design; CAID; bounded rationality modeling; cognitive abilities; design system; knowledge repository; multiperception product modeling; network surveying; product design; qualitative analysis; Analytical models; Biological system modeling; Computational modeling; Decision making; Mathematical model; Product design; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5578341
  • Filename
    5578341