By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Dezhi Jin ; Inst. of Constr. Project Manage., Hohai Univ., Nanjing, China ; Zhuofu Wang ; Xun Liu ; Jianming Yang
more authors

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

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.

Published in:

Advanced Management Science (ICAMS), 2010 IEEE International Conference on  (Volume:1 )

Date of Conference:

9-11 July 2010