DocumentCode :
2786597
Title :
Applying Dependency Structure Matrix and Monte Carlo simulation to predict change in construction project
Author :
Zhao, Zhen-yu ; Lv, Qian-lei ; You, Wei-yang
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
Volume :
2
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
670
Lastpage :
675
Abstract :
As changes constitute the main cause of schedule delay, cost overrun and other distributions, change management is an important aspect in construction project management. Many change management systems has been developed to minimize the impacts of change or to facilitate change management. However, changes should be predicted as early as possible, and then enable project management teams to take pre-management measures to minimize the changes negative impacts accordingly. In this paper, a change prediction system using activity-based dependency structure matrix (DSM) was developed to facilitate managing change, which can identify the possible changes in construction project. The outputs of the system for an application have represented the main function of the system. Methods about how to acquire date required for the proposed system are also presented. The proposed system can be helpful for project managers to manage change more efficiently.
Keywords :
Monte Carlo methods; construction; management of change; project management; Monte Carlo simulation; change management; change prediction system; construction project management; cost overrun; dependency structure matrix; schedule delay; Costs; Cybernetics; Engineering management; Financial management; Information analysis; Machine learning; Power system management; Predictive models; Project management; Resource management; Change Prediction; Dependency Structure Matrix; Monte Carlo Simulation; Project Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620489
Filename :
4620489
Link To Document :
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