• DocumentCode
    2650717
  • Title

    An integrated framework for the optimization of project risk response plan under resource constraints with genetic algorithm

  • Author

    Fang, Chao ; Marle, Franck ; Zio, Enrico

  • Author_Institution
    Lab. Genie Industriel, Ecole Centrale Paris, Chatenay-Malabry, France
  • fYear
    2011
  • fDate
    17-19 June 2011
  • Firstpage
    856
  • Lastpage
    861
  • Abstract
    In this paper we present an original framework for optimizing project risk response plan. The simulation technique is used to model the project risk network and to test the proposed mitigation actions. A genetic algorithm-based model is developed, aimed at choosing response actions and optimizing the allocation of budget reserves dedicated to the risk management. An example of application to a real transportation construction project is presented.
  • Keywords
    construction industry; genetic algorithms; project management; risk management; transportation; budget reserve allocation; genetic algorithm; optimization; project risk response plan; resource constraints; transportation construction project; Biological cells; Delay; Genetic algorithms; Optimization; Planning; Project management; Risk management; complexity; genetic algorithm; project management; resource constraints; risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1229-6
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2011.5976743
  • Filename
    5976743