Utilizing a quantitative risk analysis technique like simulation with decision tree analysis can provide a comprehensive understanding of project risks. In this approach, the simulation model would incorporate various project variables and uncertainties, running multiple simulations to generate a range of possible outcomes. Decision tree analysis would then visually map out the different decision paths based on these outcomes and associated probabilities. To determine numerical values for the project risks using this technique, probabilities would be assigned to different branches of the decision tree based on the simulation results. By calculating the expected values for each decision path, one can quantify the potential impacts of various risks on the project. Assessing the overall risk exposure involves looking at the aggregated results of the decision tree analysis, considering the probabilities and potential outcomes associated with each decision path. This assessment helps in identifying high-impact risks, prioritizing risk mitigation strategies, and making informed decisions to manage and reduce overall risk exposure in the project