• DocumentCode
    2153534
  • Title

    Working condition based decision-making system for assembly quality

  • Author

    Li, Pengzhong ; Huang, Shujuan ; Zhang, Weimin

  • Author_Institution
    Sino-German Sch. of Grad. Students, Tongji Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    In product design process, assembly quality consideration will help to find design flaws and improve product performance. Effective assessment of assembly quality under working condition can give useful information for design modification to designer. Impact assessment system and assessing criteria were first built, and then predictive assessment method for assembly quality was given. After classifying impact factors of assembly quality, with grey-system theory, evaluating grey-groups and their whitening weighing functions are defined. Grey-cluster analysis of each classified impact is performed. Based on analyzing results, decision-making method of quality impact index is given. Impact index gives a definite indication to future assembly quality.
  • Keywords
    assembling; decision making; grey systems; product design; assembly quality; assessing criteria; decision-making system; design flaws; grey groups; grey-cluster analysis; grey-system theory; impact assessment system; predictive assessment; product design process; product performance; quality impact index; weighing functions; working condition; Assembly systems; Decision making; Doped fiber amplifiers; Educational institutions; Employee welfare; Interference constraints; Process design; Product design; Product development; Quality assessment; assembly quality; assessment system; decision-making method; working condition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451389
  • Filename
    5451389