Leveraging AI and Machine Learning for Optimizing Scheduling and Risk Management in Construction Projects
Keywords:
Artificial Intelligence, Machine Learning, Construction Projects, Scheduling Optimization, Risk Management, Predictive Analytics, Optimization Algorithms, Project Performance.Abstract
This study investigates the incorporation of Artificial Intelligence (AI) and Machine Learning (ML) to enhance the efficiency of scheduling and risk management procedures in construction endeavours. This paper explores the capabilities of AI and ML in forecasting delays, reducing risks, and improving the precision of project scheduling. It highlights essential techniques and methodologies, including predictive analytics, optimisation algorithms, and automated decision-making processes. The research further explores various case studies to emphasise the practical application of these technologies, their efficacy in real-world situations, and the comprehensive influence on project outcomes, cost savings, and time efficiency. The results seek to equip construction experts with practical knowledge for integrating AI and ML technologies to enhance project planning and risk evaluation, thereby facilitating more effective project execution.
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