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Evaluating the planning efficiency for repetitive construction projects using Monte Carlo simulation technique

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Publicado en:Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 27520-27532
Autor principal: Ebid, Ahmed M.
Otros Autores: Ammar, Taher, Mahdi, Ibrahim, Hegazy, Hosam
Publicado:
Nature Publishing Group
Materias:
Resource allocation
Project planning
Fuzzy sets
Urban planning
Optimization techniques
Roads & highways
Productivity
Economic growth
Computer simulation
Research & development > R&D
Project engineering
Efficiency
Risk assessment
Case studies
Scheduling
Construction industry
Monte Carlo simulation
Construction
Decision making
Project management
Methods
Resource utilization
Critical path
Optimization algorithms
Economic
Acceso en línea:Citation/Abstract
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Resumen:Efficient planning and scheduling are critical for the success of repetitive construction projects, particularly highway infrastructure, which underpins economic growth in developing regions. Traditional scheduling methods often rely heavily on planner experience, limiting their ability to manage uncertainties and resource fluctuations in large-scale projects. This study proposes a Monte Carlo simulation-based framework to enhance planning efficiency by systematically modeling activity prioritization, resource allocation, and schedule optimization. Eighteen hypothetical project cases were analyzed under varying conditions to capture a wide range of uncertainties. The results demonstrated substantial improvements in project duration and resource utilization efficiency compared to conventional methods. Validation using three real-world highway projects in Egypt confirmed the framework’s practical applicability, achieving efficiency improvements of up to 80%. This research offers a data-driven, adaptable approach to repetitive project planning, providing planners with a robust tool to mitigate uncertainties and optimize project outcomes.
ISSN:2045-2322
DOI:10.1038/s41598-025-12779-w
Fuente:Science Database