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Improving Dynamic Project Control in Tunnel Construction Open Access


Other title
Tunnel construction
Construction Management
Project Control
Type of item
Degree grantor
University of Alberta
Author or creator
Xie, Hua
Supervisor and department
AbouRizk, Simaan (Civil and Environmental Engineering)
Examining committee member and department
Mohamed, Yasser (Civil and Environmental Engineering)
Lu, Ming (Civil and Environmental Engineering)
Doucette, John (Mechanical Engineering)
Kamat, Vineet (Civil and Environmental Engineering)
Adeeb, Samer (Civil and Environmental Engineering)
Department of Civil and Environmental Engineering
Construction Engineering and Management
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Project risks and uncertainties cause unpredictable project performance. This research intended to demonstrate that project control can be improved with the proceeding of a project, by exploiting new, available project information, and reducing uncertainties. The purpose of this study was to investigate effective tools and methods for dynamic project control. The main research work refers to the creation of a project monitoring system, tunnel construction simulation, adaptive modeling, project forecasting and planning, and cost contingency forecasting. A project monitoring system was developed to capture progress data. It also provides project progress data for updating a tunnel construction simulation model, which is built on the High Level Architecture. A Bayesian updating simulation component was developed to automatically integrate progress inputs to update key simulation model inputs. Thus, the simulation model is able to revise the inputs in light of the actual progress, to reflect the latest performance, and to ensure the validity of model inputs. The simulation results are then used to forecast future performance, and plan future work. Systematic project schedules and plans were provided, identifying the production, labour hours, equipment hours, and time to completion, as well as the resource and constraints of each main task. Additionally, this research introduced and applied Value at Risk to forecast project contingency, by utilizing actual daily cost as inputs. The forecasted cost contingency, together with labour hours and equipment hours from the simulation model, provides the basis for project budget planning and allocation. The web-based project progress monitoring system can reduce the time and effort needed for project control. The simulation model provides dynamic project planning and helps the project management team to gain insight into ongoing projects. The cost contingency forecast method provides opportunities to update contingencies, and allocate appropriate contingencies at project milestones, which allows companies to improve capital fund utilization. This research lays a solid foundation for future endeavours in how to make use of newly available project information to improve project control and planning as the project progresses.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Hua Xie, Simaan AbouRizk, and Junhao Zou, A Qualitative Method for Updating Contingency through Project Execution:Journal of Construction Engineering and Management, ASCE Volume 138, Issue 6, 2012Yang Zhang, SimaanAbouRizk, HuaXie, and Elmira Moghani, Design and Implementation of Loose‐Coupling Visualization Components in a Distributed Construction Simulation Environment with High Level Architecture (HLA): Journal of Computing in Civil Engineering, ASCE Volume 26, Issue 2, 2012HuaXie, SimaanAbouRizk, and Siri Fernando, Integrating Real time Project Progress Input Into A Construction Simulation Model: Winter Simulation Conference, IEEE Press, December 2011Ivan Ourdev, HuaXie, and SimaanAbouRizk, An Intelligent Agent Approach to Adaptive Project Management: Tsinghua Science and Technology, v 13, n SUPPL. 1, p121-125, October 2008

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