• DocumentCode
    1533177
  • Title

    Fuzzy Complexity Model for Enterprise Maintenance Projects

  • Author

    Shafiei-Monfared, Sareh ; Jenab, Kouroush

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Ryerson Univ., Toronto, ON, Canada
  • Volume
    59
  • Issue
    2
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    293
  • Lastpage
    298
  • Abstract
    Complexity measures can be used as a yardstick for budgeting, resource allocation, and planning in enterprise maintenance projects. Maintenance projects have two primary areas of complexity (i.e., technical and managerial aspects) that may not be measured precisely due to uncertain situations. In this study, a fuzzy graph-based model to measure the relative complexity of projects is presented that uses an aggregation operator to mitigate the conflict of experts´ opinions on a complexity relation. Using a fuzzy relation matrix to represent the degree of assurance of complexity, the model maps a fuzzy graph into a scaled Cartesian diagram that depicts the relative degree of complexity among projects. An illustrative example for several maintenance projects is demonstrated to present the application of the model.
  • Keywords
    budgeting; enterprise resource planning; fuzzy set theory; graph theory; maintenance engineering; matrix algebra; resource allocation; budgeting; complexity assurance; enterprise maintenance project planning; expert opinions; fuzzy complexity model; fuzzy graph-based model; fuzzy relation matrix; relative project complexity; resource allocation; scaled Cartesian diagram; Assembly; Complexity theory; Electromagnetic interference; Maintenance engineering; Measurement uncertainty; Planning; Resource management; Complexity measures; fuzzy graph; fuzzy relation; maintenance;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2010.2096560
  • Filename
    5783908