• DocumentCode
    1653733
  • Title

    Notice of Retraction
    Construction project schedule risk analysis and assessment using Monte Carlo simulation method

  • Author

    Dezhi Jin ; Zhuofu Wang ; Xun Liu ; Jianming Yang ; Meigui Han

  • Author_Institution
    Inst. of Constr. Project Manage., Hohai Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • Firstpage
    597
  • Lastpage
    601
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Construction projects are initiated in complex and dynamic environments resulting in circumstances of high uncertainty and risk, which are compounded by demanding time constraints. This paper describes an application of Monte Carlo simulation method to consider and quantify uncertainty in construction scheduling. This paper points out the importance of the construction project scheduling risk analysis and assessment from the perspective of contractor and points out the limitations of project management network techniques (CPM/PERT). Based on analyzing the principle of construction project scheduling risk analysis and assessment using Mote Carlo simulation method, the evaluating steps of Mote Carlo simulation method are given. Ultimately, the outcomes of the paper are illustrated by an instance.
  • Keywords
    Monte Carlo methods; PERT; construction industry; project management; risk analysis; scheduling; CPM; Monte Carlo simulation method; PERT; construction projects; project management network techniques; project scheduling; risk analysis; risk assessment; Biological system modeling; Materials; MC; construction project; risk assessment; scheduling risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553096
  • Filename
    5553096