1990
DOI: 10.1061/(asce)9742-597x(1990)6:4(458)
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Risks, Classification of Estimates, and Contingency Management

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Cited by 76 publications
(72 citation statements)
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“…The estimation of cost contingency and its ultimate adequacy is of critical importance to projects, hence the need to evaluate the effectiveness of contingency sum as a construction risk management tool and also determine how it can be improved. Contingency has been defined as the amount of money needed above the estimate to reduce the risk over runs of project objectives to a level acceptable to the organization (PMI, 2000).Risk is defined as events within the defined project scope that are unforeseen (Moselhi, 1997;Yeo, 1990), unknown (PMI, 2000, unexpected (Mak et al, 1998), unidentified (Levine, 1995) or undefined (Thompson and Perry, 1992). Various contingency estimating methods were also identified from literature.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The estimation of cost contingency and its ultimate adequacy is of critical importance to projects, hence the need to evaluate the effectiveness of contingency sum as a construction risk management tool and also determine how it can be improved. Contingency has been defined as the amount of money needed above the estimate to reduce the risk over runs of project objectives to a level acceptable to the organization (PMI, 2000).Risk is defined as events within the defined project scope that are unforeseen (Moselhi, 1997;Yeo, 1990), unknown (PMI, 2000, unexpected (Mak et al, 1998), unidentified (Levine, 1995) or undefined (Thompson and Perry, 1992). Various contingency estimating methods were also identified from literature.…”
Section: Introductionmentioning
confidence: 99%
“…Various contingency estimating methods were also identified from literature. These include traditional percentage (Ahmad, 1992;Moselhi, 1997), method of moments (Yeo, 1990), Monte Carlo Simulation (Lorance and Wendling, 2001), Factor Rating (Joseph et al, 2012). Regression (Aibinu and Jagboro, 2002), Artificial Neural Networks (Chen andHartman, 2000, Williams, 2003), Fuzzy sets (Pack et al, 1994), Influence diagrams (Diekmann and Featherman, 1998), and theory constraints (Leach, 2003).…”
Section: Introductionmentioning
confidence: 99%
“…Still some researchers improved the extension rule, and put forward series of algorithms such as NER, RIER, etc (Yeo, 1990;Zayed, Amer & Pan, 2008).…”
Section: Definition and Attribute Of Contingencymentioning
confidence: 99%
“…Besides, many researchers applied the extension rule to the model counting problem (Touran, 2003), and many amended it so as to apply it into the TP of modal logic (Touran & Liu, 2015). Still some researchers improved the extension rule, and put forward series of algorithms such as NER, RIER, etc (Yeo, 1990;Zayed, Amer & Pan, 2008).…”
Section: Definition and Attribute Of Contingencymentioning
confidence: 99%
“…The engineering allowance is added to the estimator's base estimate to raise the probability of success to an even chance level. While the management contingency accounts for projects that are high risk because of poor project definition and because management expects a better-than even chance of success (Yeo, 1990). …”
Section: Estimationmentioning
confidence: 99%