• DocumentCode
    2194713
  • Title

    Study on Human Error in Operation Based on Human Cognitive Reliability Model

  • Author

    Wang, Hongde ; Ma, Yundong

  • Author_Institution
    Coll. of Civil & Safety Eng., Dalian Jiaotong Univ., Dalian, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to improve the reliability of chemical equipments operation, the simulation research on the reliability of the operators is needed. Basing on the research platform of Dalian Chemical Industry Group Corporation (The Group), taking the reliability model of Human Cognition Reliability (HCR) as guide, in allusion to the 17 abnormal events which affect the running safety, the allowable operation time and the non-response time of the operators are video-recorded and analyzed. According to the indexes system of International Atomic Energy Agency (IAEA), various errors in operation and their potential harms are sorted out. Based on the three-parameter Weibull model, the non-response probability model is deduced. The countermeasures to prevent accidents are worked out from view of human factor engineering. The results show that the model of human error in operation basing on HCR is available.
  • Keywords
    Weibull distribution; accident prevention; chemical industry; human factors; occupational safety; probability; production equipment; Dalian Chemical Industry Group Corporation; International Atomic Energy Agency; accident prevention; chemical equipments operation reliability; human cognitive reliability model; human error; human factor engineering; indexes system; nonresponse probability model; running safety; simulation research; three-parameter Weibull model; Analytical models; Decision making; Humans; Reliability engineering; Safety; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5578074
  • Filename
    5578074