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
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