• DocumentCode
    2913177
  • Title

    Risk Analysis of Construction Schedule Based on PERT and MC Simulation

  • Author

    Jian-wen Huang ; Xing-xia Wang

  • Author_Institution
    Coll. of Economic & Manage., China Three Gorges Univ., Yichang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    26-27 Dec. 2009
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    In a construction project where duration truly equals money, the management of duration is critical, thus predicting the likelihood of duration may play a key role towards project success. On the basis of the researches of other scholars, this paper analyzed the traditional probability analysis method for duration risk in program evaluation and review technique(PERT). On basis of that it simulates the project´ s duration and analyzes the risk of construction schedule by Monte Carlo simulation(MCS) method. Monte Carlo method was used to simulate the duration for each activity and the overall project to accurately determine the completion probability of the project under considering of the changeability and randomness of duration for each activity. The result shows that the MCS method is convenient, effective and efficient. It provides scientific basis for project decision-making and supports the decider powerfully.
  • Keywords
    Monte Carlo methods; PERT; construction industry; decision making; project management; risk analysis; scheduling; MC simulation; Monte Carlo simulation; PERT; construction project duration; construction schedule; probability analysis; program evaluation and review technique; project completion; project decision making; risk analysis; Analytical models; Conference management; Educational institutions; Financial management; Innovation management; Job shop scheduling; Monte Carlo methods; Project management; Risk analysis; Risk management; Monte Carlo simulation(MCS); construction schedule; duration risk; probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3876-1
  • Type

    conf

  • DOI
    10.1109/ICIII.2009.195
  • Filename
    5369188