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@article{186371,
        author = {Mohit O.Chandak and Pranav P. Pande and Dr R.W.Parankar and Jayesh H.Gandhi},
        title = {Recent Trends in Scheduling of Construction Projects Using Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1427-1429},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186371},
        abstract = {Efficient scheduling of construction projects is crucial for achieving timely completion, optimal resource utilization, and cost efficiency. Traditional scheduling methods such as the Critical Path Method (CPM), Program Evaluation and Review Technique (PERT), and Gantt charts have long been used but face limitations when dealing with dynamic, data-intensive, and uncertain project environments. Recent advancements in Artificial Intelligence (AI) — including Machine Learning (ML), Neural Networks, Genetic Algorithms (GA), and Reinforcement Learning (RL) — have revolutionized the scheduling domain by enabling predictive, adaptive, and automated decision-making. This paper reviews and analyses the recent trends and AI-based techniques applied in construction scheduling, focusing on model optimization, real-time data integration, and intelligent forecasting. The results indicate that AI tools significantly enhance schedule accuracy, risk management, and productivity.},
        keywords = {Construction Scheduling, Artificial Intelligence, Machine Learning, Neural Networks, Optimization, Project Management},
        month = {November},
        }