• DocumentCode
    1819638
  • Title

    HFACS model based data mining of human factors-a marine study

  • Author

    Xi, Y.T. ; Chen, W.J. ; Fang, Q.G. ; Hu, S.P.

  • Author_Institution
    Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    1499
  • Lastpage
    1504
  • Abstract
    It is well known that human error is the key contributor in most marine accidents. Nevertheless, human error is not the cause of accidents or mishaps in the new view on human errors; it is the deeper trouble of the MMEM (Man-Machine-Environment-Management) system. The key point for human error analysis is to find out the connection between human error and the features of system elements, that is the contexts of human error (Operating environment, Organization influence, etc). For this reason, this paper shows an approach for mining the human factors data which influence the occurrence of human error. This approach bases on the data collected on HFACS (Human Factor Analysis and Classification System) Model. It can be used for analysis of human factors and risk management of marine industry.
  • Keywords
    data mining; human factors; marine engineering; marine safety; data mining; human error; human factor analysis and classification system; man-machine-environment management system; marine accidents; marine study; Context; Data mining; Human factors; Humans; Marine accidents; Safety; Data mining; HFACS; Human error; Marine accidents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674153
  • Filename
    5674153