• DocumentCode
    498355
  • Title

    Product Unit Gene Model and Its Application in Vehicle Leaf-Spring Configuration Design

  • Author

    Bin, He ; Gangyan, Li

  • Author_Institution
    Wuhan Univ. of Technol., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    One of the most important problems that must be solved in product configuration design is how to effectively deal with the confliction between variability of individual customer requirement and high efficiency, accuracy and intelligence. Considering the feature of self organization, self adaptability, hereditariness and variability of product gene, product unit gene model is built by analogue of the structure of human gene, and the method of self-organizing configuration solving is presented based on product unit gene synthesis. Meantime, some rules of gene synthesis are designed and the process of self-organizing configuration solving is described. At the end of the paper, the feasibility of the method is testified by an example of vehicle leaf-spring. Accordingly, some suggestions of improvement and further research are given in the result.
  • Keywords
    customer satisfaction; genetic algorithms; product customisation; product design; customer requirement; hereditariness; product configuration design; product gene variability; product unit gene model; product unit gene synthesis; self adaptability; self organization; self-organizing configuration solving; vehicle leaf-spring configuration design; Biological system modeling; Helium; Humans; Intelligent systems; Intelligent vehicles; Mass customization; Process design; Product design; Testing; Uncertainty; Configuration Design; Gene Synthesis; Self-Organizing; Unit Gene Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.36
  • Filename
    5209243