SUMMARY
It is quite observed and frequently iterated in the risk literature thatconstruction projects are prone to various and interrelated risks. Risks that span over a widespectrum such as delays, cost overrun, safety, design, construction, environmental,weathering, legal and operational risks. Delays and cost overruns are considered among theleading threat risks that a project can experience and suffer. Quantifying those risks isintricate due to the complex and interrelated nature of construction projects and risksencountered over them. Isolating and quantifying the effect of those risks (delays and costoverruns), apart from the overall interacted effect of other risks, is an important performanceindicator. Moreover, it can serve as a useful predictive and proactive tool for Sudaneseconstruction project management professionals in formulating risk response plans. In order toachieve such a goal, special circumstances and conditions shall hold valid. Conditions asholding still the key other risks that are expected to affect the overall project risk interaction.The aim of this paper is to develop predictive models in order to quantify the magnitude ofdelays and cost overruns. This is sought by incorporating non-probabilityreadily accessiblesample (n=19) of solely-steady funding, defined scope, contractual time frame and costprojects. This is meant to isolate (as much as practical) other than delays and cost over runsrisk factors. To achieve the stated goal, regression statistical techniques and Monte Carlosimulation are utilized using Minitab, SPSS and @risk softwares. Comparison between theresults obtained by the Monte Carlo simulation and the actual finish durations and costs wasconducted. It was found that the uniform distribution is the best fit for the actual projectdurations and Pareto distribution for the actual cost. It was also found that there is asignificant difference between the actual and contractual durations, which resulted insignificantly large delays. In the author opinion this is can be attributed to one or collateral ofthe scenarios of owner imposed contractual time frame, non-compensable time extensions,changes and variations, contract miss -management and lack of accurate project scopedefinition.