Scheduling Optimization and Risk Analysis Using Monte Carlo Simulation for a Construction Project in Morocco

Scheduling Optimization and Risk Analysis Using Monte Carlo Simulation for a Construction Project in Morocco
  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-6
Year of Publication : 2025
Author : Hicham Hassi, Mouna El Mkhalet, Nouzha Lamdouar
DOI : 10.14445/22315381/IJETT-V73I6P128

How to Cite?
Hicham Hassi, Mouna El Mkhalet, Nouzha Lamdouar, "Scheduling Optimization and Risk Analysis Using Monte Carlo Simulation for a Construction Project in Morocco," International Journal of Engineering Trends and Technology, vol. 73, no. 6, pp.336-349, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I6P128

Abstract
This study focuses on integrating Monte Carlo simulation into construction project management to optimize scheduling and analyze risks under uncertainty. By comparing three probability distributions-Triangular, Betapert, and Uniform, the research evaluates their impact on critical and near-critical paths, project completion timelines, and decision-making reliability. The simulations reveal how varying levels of uncertainty influence task durations and criticality, providing insights into resource allocation, risk mitigation, and timeline optimization. The findings emphasize the importance of selecting an appropriate distribution type to balance predictability and flexibility in construction projects.

Keywords
Monte Carlo simulation, Scheduling optimization, Risk analysis, Critical paths, Construction project management.

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