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Experts’ Engagement in Risk Analysis: A Model Merging Analytic Hierarchy Process and Monte Carlo Simulation

Cintia Bardauil Baptistucci, Gerson Pech, Marly Monteiro Carvalho


This paper presents a risk analysis model merging Analytic Hierarchy Process (AHP) and Monte Carlo simulation (MCS) that enables risk prioritization, providing a contingent cost analysis. The model has six steps: risk factors definition; risk frequency prioritization using the AHP; probability estimation for risk effects; probability distribution for other variabilities; correlation analysis between cost and time; and MCS for cost estimation. The proposed model was applied to 12 industrial wastewater projects. Data were gathered from interviews and documents. The results show three major contributions: a decision tool to identify, analyze and assess the risks, experts’ engagement (knowledge and perception), and visual output for risk analysis.


Risk Management; Risk Factors; Analytic Hierarchy Process; Monte Carlo Simulation; Construction Projects


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