The Importance of Risk Management in Improving the Performance of Engineering Projects: A Comparative Analytical Study and Simulation Algorithm
DOI:
https://doi.org/10.65422/sajfas.v2i1.240Keywords:
Engineering Project Risk Management, Monte Carlo Simulation, Risk Matrix, Quantitative Analysis, Construction Projects, Project Sustainability, Statistical Analysis, Hybrid Models.Abstract
This paper investigates the critical role of risk management in improving the performance of engineering projects. It presents a comparative analytical study and an advanced simulation algorithm to assess and mitigate project risks. By integrating theoretical insights with practical applications, the research demonstrates how a sophisticated simulation approach can transform uncertainties into manageable opportunities. The study utilizes a case study to illustrate the application of an advanced simulation algorithm, highlighting its effectiveness in predicting potential deviations in project schedules and costs. The findings underscore the importance of robust risk management practices and provide a framework for enhancing project outcomes through advanced analytical techniques.

