DocumentCode :
2553584
Title :
A risk management decision support system for project management based on bayesian network
Author :
Xiaocong, He ; Ling, Kang
Author_Institution :
Dept. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
308
Lastpage :
312
Abstract :
With the economic and social development, as well as risk management consciousness improved, the importance of risk evaluation is increasingly recognized in project management. Many projects have the characteristic of large-scale, wide-rang, and at great position in national economy. The need for risk management decision support system is valuable and essential. But risk factors in projects are complex and close association with each other. Normal risk analyzing methods can not manifest this relationship fully. This paper proposes a new risk management decision support system based on bayesian network, and take the east route of south-to-north water transfer project as an example, build a decision support system. The result shows that bayesian network is effective in complex risk analyzing in decision support system of project management. Moreover, it also can be used for real time risk assessment and decision-making in project management.
Keywords :
belief networks; decision making; decision support systems; economics; project management; risk management; Bayesian network; decision making; national economy; project management; risk evaluation; risk management decision support system; south-to-north water transfer project; Bayesian methods; Decision support systems; Disaster management; Environmental economics; Helium; Hydroelectric power generation; Project management; Risk analysis; Risk management; Statistical analysis; bayesian network; decision support system; hydraulic project; project risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5478061
Filename :
5478061
Link To Document :
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