• DocumentCode
    2558682
  • Title

    Axiomatic-based product module identification method

  • Author

    Quan, Shan ; Yan, Chen ; Yi, Lei ; Guang-rong, Yan

  • Author_Institution
    Dept. of Autom. Eng., Northeastern Univ., Qinhuangdao
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    1649
  • Lastpage
    1653
  • Abstract
    A module identification numerical optimize method, which based on axiomatic design theory, is proposed. Firstly, a series of property relationship which faces to product lifecycle is divided into four kinds of correlation degree, and then the integrated relationship matrix of product component is obtained. Secondly, the optimization function of module identification which based on the principle of axiomatic design (namely, close cohesion and loose coupling) is established. Thirdly, the numerical optimization method of the product module identification is constituted, using genetic simulation annealing algorithm. Some key issues such as creating the synthesis relationship matrix, building the objective optimization function, disposing the single component module, coding the chromosome and judging the new chromosome validity are solved. An example is presented to demonstrate the feasibility of the related approaches proposed.
  • Keywords
    genetic algorithms; identification; simulated annealing; axiomatic design theory; axiomatic-based product module identification method; genetic simulation annealing algorithm; integrated relationship matrix; module identification numerical optimize method; objective optimization function; product lifecycle; synthesis relationship matrix; Algorithm design and analysis; Biological cells; Buildings; Computer integrated manufacturing; Design automation; Design optimization; Genetics; Mechanical engineering; Optimization methods; Simulated annealing; Axiomatic Theory; Genetic Simulated Annealing Algorithm; Modular Design; Module Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597599
  • Filename
    4597599