• DocumentCode
    2417130
  • Title

    Quantification of organizational influences on failure rate: A Bayesian approach

  • Author

    Hui Jin ; Rausand, Marvin ; Mosleh, Aboozar ; Haugen, Stein

  • Author_Institution
    Dept. of Production & Quality, Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    757
  • Lastpage
    761
  • Abstract
    This paper studies the organizational influences on failure rates. The failure rate model in MIL-HDBK-217F is extended to include organizational factors, and a Bayesian approach is proposed to quantify the organizational influences. In contrast to most explicit organizational models, this paper focuses on extracting information from failure rate data. The proposed Bayesian approach, however, can be combined with the explicit models by using their results as prior information, hence obtain more rigorous result. A numerical example is included to illustrate the model and approach.
  • Keywords
    Bayes methods; failure analysis; organisational aspects; Bayesian approach; failure rate; organizational factors; organizational influences; Accidents; Bayes methods; Data models; Industries; Organizations; Reliability; Safety; Bayesian; failure rate; organizational influences; quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837841
  • Filename
    6837841