The Risk Analysis Model uses Monte Carlo simulation to provide a transparent, data-driven view of project uncertainty. By simulating thousands of possible outcomes, it helps teams make informed decisions and allocate contingency budgets effectively.
Simulation Engine: Runs 10,000 iterations to model risk scenarios and calculate probabilistic cost and schedule impacts.
Flexible Distributions: Supports PERT, Triangle, and Uniform distributions for modelling individual risks.
Percentile Analysis: Provides P50, P80, and P90 results for best-case, most likely, and worst-case scenarios.
Gantt Chart: A visual representation of how risks are broken out across different phases of project (Pre-Construction, Construction, Post Construction, All Phases).
Transparency: Clear view of risk exposure and confidence levels.
Data-Driven Decisions: Enables informed allocation of contingency budgets.
Customization: Tailored to project-specific needs.
Risk Identification: Define risks by category, owner, and phase; set impact ranges and confidence levels.
Simulation & Analysis: Run Monte Carlo simulations to generate probabilistic outcomes and contingency allowances.
Team Review & Mitigation: Confirm allowances, define mitigation strategies, and assess residual risk.
You must be logged in to post a comment.