LEVERAGING AI AND MACHINE LEARNING FOR OPTIMIZING SCHEDULING AND RISK MANAGEMENT IN CONSTRUCTION PROJECTS
DOI:
https://doi.org/10.29121/granthaalayah.v13.i4.2025.6215Keywords:
Artificial Intelligence, Machine Learning, Construction Projects, Scheduling Optimization, Risk Management, Predictive Analytics, Optimization Algorithms, Project PerformanceAbstract [English]
This paper focuses on the ability to use AI and ML to improve scheduling and risk management acivities within construction projects. In this paper, an analysis will be made on the use of AI and ML in a business environment with specific focus on the accuracy of the of delay risk management and forecasting in projecting the actual time of completion on a work. This involves general important procedures and approaches such as predictive analysis, optimization methods and programing decision management. The study draws examples to buttress these facts, present the application and effectiveness of these technologies on projects, the impact on the project results, cost, and time. The results aim to empower the construction specialists with the real-life know-how in the application of such tools as AI and ML to help to streamline project planning and risk assessment, thus improving the further project delivery.
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