• DocumentCode
    2963892
  • Title

    Analysis and evaluation of human factors in aviation maintenance based on fuzzy and AHP method

  • Author

    Wang, Lei ; Sun, Ruishan ; Yang, Zhihui

  • Author_Institution
    Res. Inst. of Civil Aviation Safety, Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    876
  • Lastpage
    880
  • Abstract
    This paper aimed to develop a quantitative and objective method to analyze and evaluate human factors in aviation maintenance process. Firstly a detailed classification and causing analysis on human errors in aviation maintenance was carried out basing on SHEL and Reason Model; then an integrated evaluation solution was proposed out by using fuzzy and AHP method together. Then the solution was applied into practice for an evaluation case. Finally it concluded that Noise & vibration, Professional ethics & responsibility, Safety information sharing and Completeness of software & document took the four largest weights to the four first-level indices respectively. This comprehensive evaluation method was expected to be using in practice and provide effective support to prevent human errors and improve safety in maintenance organizations.
  • Keywords
    aircraft maintenance; decision making; human factors; AHP method; analytic hierarchy processing; aviation maintenance; fuzzy method; human error causing analysis; human factor evaluation; noise-vibration factor; professional ethics-responsibility factor; safety information sharing factor; software-document completeness factor; Air accidents; Air safety; Aircraft propulsion; Computer aided analysis; Error analysis; Hardware; Human factors; Software maintenance; Software safety; Software tools; AHP; Human factors; aviation maintenance; evaluation; fuzzy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5372887
  • Filename
    5372887