Details
| Original language | English |
|---|---|
| Title of host publication | Vulnerability, Uncertainty, and Risk |
| Subtitle of host publication | Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences |
| Pages | 360-367 |
| Number of pages | 8 |
| Publication status | Published - Apr 2011 |
| Externally published | Yes |
| Event | International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011 - Hyattsville, MD, United States Duration: 11 Apr 2011 → 13 Apr 2011 |
Publication series
| Name | Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences |
|---|
Abstract
Risk Management is one of the vital factors for success in long term projects. According to some researchers which consider the risks in long term and large structures projects, risk management is the order of the day and one of the critical success factors (CSFs) of PPP-BOT projects. The concept of risk in these projects, where the risks are generally high, involves contingency and uncertainty. So it is essential to employ uncertainty, probabilistic and stochastic methods and to use related models to manage risks in these projects. In this paper some Probabilistic and Stochastic methods, tools and software are used in real cases to show their role and benefits in the life cycle risk management of Long Term Infrastructure Projects; namely PPP-BOT projects and these have been compared with current methods. Finally a framework for these methods has been proposed to examine dependability modeling under uncertainty by using proposed global dynamic environment model.
Keywords
- Construction project simulation, Dependability modeling under uncertainty, Fuzzy set, Monte carlo simulation, Ppp, Probabilistic methods, Risk management
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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- BibTeX
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Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. p. 360-367 (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Risk management of Long Term Infrastructure Projects "PPP-BOT projects" by using Uncertainty, Probabilistic and Stochastic Methods and Models
AU - Attarzadeh, Meghdad
AU - Chua, David Kim Huat
AU - Beer, Michael
PY - 2011/4
Y1 - 2011/4
N2 - Risk Management is one of the vital factors for success in long term projects. According to some researchers which consider the risks in long term and large structures projects, risk management is the order of the day and one of the critical success factors (CSFs) of PPP-BOT projects. The concept of risk in these projects, where the risks are generally high, involves contingency and uncertainty. So it is essential to employ uncertainty, probabilistic and stochastic methods and to use related models to manage risks in these projects. In this paper some Probabilistic and Stochastic methods, tools and software are used in real cases to show their role and benefits in the life cycle risk management of Long Term Infrastructure Projects; namely PPP-BOT projects and these have been compared with current methods. Finally a framework for these methods has been proposed to examine dependability modeling under uncertainty by using proposed global dynamic environment model.
AB - Risk Management is one of the vital factors for success in long term projects. According to some researchers which consider the risks in long term and large structures projects, risk management is the order of the day and one of the critical success factors (CSFs) of PPP-BOT projects. The concept of risk in these projects, where the risks are generally high, involves contingency and uncertainty. So it is essential to employ uncertainty, probabilistic and stochastic methods and to use related models to manage risks in these projects. In this paper some Probabilistic and Stochastic methods, tools and software are used in real cases to show their role and benefits in the life cycle risk management of Long Term Infrastructure Projects; namely PPP-BOT projects and these have been compared with current methods. Finally a framework for these methods has been proposed to examine dependability modeling under uncertainty by using proposed global dynamic environment model.
KW - Construction project simulation
KW - Dependability modeling under uncertainty
KW - Fuzzy set
KW - Monte carlo simulation
KW - Ppp
KW - Probabilistic methods
KW - Risk management
UR - http://www.scopus.com/inward/record.url?scp=79958077831&partnerID=8YFLogxK
U2 - 10.1061/41170(400)44
DO - 10.1061/41170(400)44
M3 - Conference contribution
AN - SCOPUS:79958077831
SN - 9780784411704
T3 - Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
SP - 360
EP - 367
BT - Vulnerability, Uncertainty, and Risk
T2 - International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
Y2 - 11 April 2011 through 13 April 2011
ER -