Monte Carlo Analysis
Monte Carlo Analysis is a statistical method that uses random sampling to model the probability of different outcomes. In cost risk analysis, it simulates the impact of multiple risk factors on a project's overall cost.
Key Advantages of Monte Carlo Analysis
• Handles Correlation: Monte Carlo analysis implicitly models the correlation between risk factors without requiring explicit estimation of correlation coefficients. The simulation process itself captures the interdependence of different factors.
• Flexibility: It can handle complex risk scenarios with multiple interdependent factors.
• Visual Insights: It provides visual representations of the probability distribution of project costs, making it easier to understand the potential range of outcomes.
By using Monte Carlo Analysis, you can gain a more accurate and comprehensive understanding of the project's cost risk and make informed decisions to mitigate potential risks.

Joseph C.
10/31/24