• DocumentCode
    3144471
  • Title

    Risk identification and analysis concurrently: Group Decision Making afpproach

  • Author

    Mojtahedi, S.M.H. ; Mousavi, S.M. ; Makoui, A.

  • Author_Institution
    Dept. of Ind. Eng., Islamic Azad Univ.-South Tehran Branch, Tehran
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    299
  • Lastpage
    304
  • Abstract
    The identification and analysis of project risks among potential risks is a multi attribute group decision making problem. Conventional approaches to risk identification and risk analysis separately tend to be less effective in dealing with the imprecise of the risk analysis individually. The aim of this paper is to present a new methodology for identifying and analyzing risks concurrently by applying Multi Attribute Group Decision Making (MAGDM). The paper includes a new procedure for classifying potential risks which it is the Potential Risks Breakdown Structure (PRBS) based on project Work Breakdown Structure (WBS). Moreover, lessons learned and Nominal Group Technique (NGT) are utilized for gathering potential risks. Obtained results have been applied in gas refinery plant construction successfully.
  • Keywords
    decision making; fuel processing industries; industrial plants; oil refining; project management; risk analysis; gas refinery plant construction; multiattribute group decision making; nominal group technique; potential risk breakdown structure; project risk identification; project work breakdown structure; risk analysis; Costs; Decision making; Electric breakdown; Industrial engineering; Joining processes; Multidimensional systems; Pattern analysis; Project management; Risk analysis; Risk management; Gas refinery plant; multi attribute group decision making; potential risk breakdown structure; risk analysis; risk identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2329-3
  • Electronic_ISBN
    978-1-4244-2330-9
  • Type

    conf

  • DOI
    10.1109/ICMIT.2008.4654380
  • Filename
    4654380