Quantifying schedule risk in construction projects using Bayesian belief networks. Luu, V., T., Kim, S., Tuan, N., V., & Ogunlana, S., O. International Journal of Project Management, 27(1):39-50, 1, 2009. ![Quantifying schedule risk in construction projects using Bayesian belief networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex Delays on construction projects cause financial losses for project stakeholders in developing countries. This paper describes how Bayesian belief network (BBN) is applied to quantify the probability of construction project delays in a developing country. Sixteen factors were identified through a questionnaire survey of 166 professionals. Eighteen cause-effect relationships among these factors were obtained through expert interview survey to develop a belief network model. The validity of the proposed model is tested using two realistic case studies. The findings of the study revealed that financial difficulties of owners and contractors, contractor’s inadequate experience, and shortage of materials are the main causes of delay on construction projects in Vietnam. The results encourage practitioners to benefit from the BBNs. This approach is general and, as such, it may be applied to other construction projects with minor modifications.
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title = {Quantifying schedule risk in construction projects using Bayesian belief networks},
type = {article},
year = {2009},
keywords = {Bayesian belief networks,Construction projects,Delays,Risk management,Scheduling,Vietnam},
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abstract = {Delays on construction projects cause financial losses for project stakeholders in developing countries. This paper describes how Bayesian belief network (BBN) is applied to quantify the probability of construction project delays in a developing country. Sixteen factors were identified through a questionnaire survey of 166 professionals. Eighteen cause-effect relationships among these factors were obtained through expert interview survey to develop a belief network model. The validity of the proposed model is tested using two realistic case studies. The findings of the study revealed that financial difficulties of owners and contractors, contractor’s inadequate experience, and shortage of materials are the main causes of delay on construction projects in Vietnam. The results encourage practitioners to benefit from the BBNs. This approach is general and, as such, it may be applied to other construction projects with minor modifications.},
bibtype = {article},
author = {Luu, Van Truong and Kim, Soo-Yong and Tuan, Nguyen Van and Ogunlana, Stephen O.},
doi = {10.1016/j.ijproman.2008.03.003},
journal = {International Journal of Project Management},
number = {1}
}
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