• DocumentCode
    2226243
  • Title

    A fuzzy BOT project risk evaluation model in iranian power plant industry

  • Author

    Ebrahimnejad, S. ; Mousavi, S.M. ; Mojtahedi, S.M.H.

  • Author_Institution
    Dept. of Ind. Eng., Islamic Azad Univ. - Karaj Branch, Karaj, Iran
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1038
  • Lastpage
    1042
  • Abstract
    Nowadays the most common approaches for project financing is called BOT (Build - Operate - Transfer). One of the most practical financing infrastructure by private capital, in which governmental strategic control is preserved. In spite of this advantage, BOT projects may be so riskful for private and public sectors. Therefore, risk identification and management is so important in BOT projects. In this paper, at first we identify some of the most important risks in BOT power plant projects; then we use some effective criteria and attributes assigned for risk evaluating in BOT approach. Afterwards the problem is defined via fuzzy Multi Attribute Decision Making (MADM) method. Therefore, a fuzzy LINMAP method is presented to evaluate the risk in BOT projects. Finally, a case study is used to illustrate the procedure of the proposed model at the end of paper.
  • Keywords
    decision making; fuzzy set theory; power plants; power system management; risk analysis; Iranian power plant industry; financing infrastructure; fuzzy BOT project risk evaluation model; fuzzy LINMAP method; fuzzy multiattribute decision making; governmental strategic control; private capital; private sectors; project financing; public sectors; risk identification; risk management; Contracts; Costs; Dynamic programming; Fuzzy sets; Industrial engineering; Power generation; Power generation economics; Risk management; Statistics; Utility theory; BOT project; fuzzy LINMAP; risk evaluation; risk identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738028
  • Filename
    4738028