• DocumentCode
    2757646
  • Title

    A fuzzy synthetic evaluation method for failure risk of aviation product R&D project

  • Author

    Pan Xing ; Wang Hongzheng ; Chang Wenbing

  • Author_Institution
    Dept. of Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    2-5 June 2010
  • Firstpage
    1106
  • Lastpage
    1111
  • Abstract
    There are many risk factors which lead to the failure of aviation product R&D project, and usually, technical risk, cost risk and schedule risk are three primary kinds of risk. According to failure risk analysis in aviation product R&D project, a risk breakdown structure (RBS), including risk factors and risk consequences, is proposed. More over a fuzzy synthetic evaluation method based on probability risk analysis (PRA) method integrated with fuzzy AHP method used triangular fuzzy numbers is presented to evaluate the failure risk of aviation product R&D project. The method is more available and effective to evaluate the risk which is difficult to give the value and the weight of indexes. At last, a case of aviation R&D project failure risk evaluation is given to illustrate the application of the proposed method.
  • Keywords
    aerospace industry; decision making; failure analysis; fuzzy set theory; probability; project management; research and development; risk analysis; scheduling; aviation product R&D project; cost risk; failure risk analysis; fuzzy AHP; fuzzy synthetic evaluation method; probability risk analysis; risk breakdown structure; risk factors; schedule risk; technical risk; triangular fuzzy numbers; Costs; Electric breakdown; Equations; Fuzzy systems; Humans; Project management; Research and development; Research and development management; Risk analysis; Systems engineering and theory; fuzzy AHP; probability risk analysis; risk breakdown structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6565-1
  • Electronic_ISBN
    978-1-4244-6566-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2010.5492898
  • Filename
    5492898