• DocumentCode
    2757162
  • Title

    Research of organizational RMS engineering capability assessment method

  • Author

    Li Guosheng ; Pan Xing ; Chang Wenbing ; Ma Zhao

  • Author_Institution
    Dept. of Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    2-5 June 2010
  • Firstpage
    1013
  • Lastpage
    1018
  • Abstract
    The effective assessment of organizational reliability, maintainability and supportability (RMS) engineering capability has an important significance to improving organizational RMS work level. For the problem of organizational RMS engineering capability assessment being complex, and many indexes being fuzzy and difficult to be defined the value and weight, a method based on fuzzy analytic hierarchy process (FAHP) was proposed to assess organizational RMS engineering capability. Firstly, the concept of organizational RMS engineering capability was defined and the index system for RMS engineering capability assessment was presented. Secondly, concrete steps of organizational RMS engineering capability assessment method based on FAHP for application of the system were introduced. Finally, the application of a case was given to verify the method effectively.
  • Keywords
    decision making; fuzzy set theory; maintenance engineering; matrix algebra; organisational aspects; reliability; fuzzy analytic hierarchy process; organizational RMS engineering capability assessment method; reliability maintainability and supportability engineering capability; Capability maturity model; Concrete; Coordinate measuring machines; Fuzzy systems; Knowledge management; Maintenance engineering; Manufacturing; Reliability engineering; Standards organizations; Systems engineering and theory; RMS engineering capability; fuzzy analytic hierarchy process; maintainability; reliability; supportability;
  • 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.2010.5492875
  • Filename
    5492875