New approach to estimating the standard deviations of lognormal cost variables in the Monte Carlo analysis of construction risks

Chang, C Y and Ko, J W (2017) New approach to estimating the standard deviations of lognormal cost variables in the Monte Carlo analysis of construction risks. Journal of Construction Engineering and Management, 143(1): 06016006, ISSN 0733-9364

Abstract

If soundly conducted, risk assessment could yield considerable savings for project investors. Monte Carlo simulation (MCS) has been widely embraced by risk management guides as an instrumental tool for this purpose. This research aims to develop a new method to improve the rigor of MCS by establishing the link between parameter estimation and assessment of individual risk sources. The method is validated by virtue of its predictive power for the likelihood of a project being successful in securing investors. Eight Taiwanese sewerage build-operate-transfer projects are investigated. Compared with the discounted cash flow approach, this new method can provide a more accurate prediction using the expert's assessment as input of financial impact and occurrence likelihood of individual risks. This finding furnishes solid empirical evidence for the value MCS might add to project appraisal.

Item Type: Article
Uncontrolled Keywords: Monte Carlo simulation; organizational issues; public-private partnership/build-operate-transfer; risk allocation; risk modeling; sewerage system
Index terms: Monte Carlo simulation, deviation, partnership, savings, investor, modelling, organizational issue, risk assessment, risk management, risk allocation, build-operate-transfer, project appraisal, discounted cash flow, parameter-estimation, estimating, evidence
Subjects: statistical analysis, financial analysis, partnership management, sociology, financial risk, contractual arrangements, analytical methods, financial and cost management, project delivery, economic analysis, modelling and simulation, evaluation and assessment methods, risk assessment, business
Topics: Procurement, Stakeholder Management, Risk Management, Engineering Principles, Project Management, Research Practice, Cost Management, Business Strategy, Organizational Design
Descriptive scope: 3 PCA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here