• DocumentCode
    2929789
  • Title

    Prioritizing technical requirements in QFD by integrating the grey relational analysis method and analytic network process approach

  • Author

    Xia Wei-guo ; Mi Chuan-min

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    33
  • Lastpage
    37
  • Abstract
    No matter at what stage in product design or product quality improvement, the technical requirements (PTRs), or engineering characteristics impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. Quality function deployment is utilized as a powerful tool for improving product design level and enhancing product design quality. In this study, an integrated framework based on grey relational analysis (GRA) method and analytic network process (ANP) approach is proposed to determine the importance degrees of PTRs in designing a product. An application in a Turkish Company producing PVC window and door systems mentioned in a previous study is presented to illustrate the proposed framework.
  • Keywords
    decision making; grey systems; product design; product quality; quality function deployment; ANP approach; CN; GRA method; PTR; PVC window; QFD; Turkey; analytic network process; customer needs; door systems; engineering characteristics; grey relational analysis method; importance degree; product design; product performance; product quality improvement; quality functional deployment; technical requirements; Companies; Conductivity; Planning; Product design; Product development; Quality function deployment; Silicon; ANP; GRA; Product design; QFD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714737
  • Filename
    6714737