In the modern world, time management and execution processes play a crucial role in the success of construction projects. Despite recent advancements, Iran’s construction industry still faces challenges such as scheduling delays, cost overruns, and inefficient resource management. These issues are compounded by project complexity, stakeholder diversity, and underutilization of modern technologies. This article proposes a comprehensive AI-based model for optimizing scheduling and managing construction projects under Iran's specific conditions. The model integrates machine learning algorithms, natural language processing (NLP) systems, and building information modeling (BIM) technologies to analyze historical and real-time data, providing intelligent recommendations for managerial decisions. Key design considerations include compliance with local regulations, economic constraints, and Iran's climatic conditions. Initial simulations indicate the proposed model's potential to reduce project durations, enhance resource allocation, and lower additional costs. Furthermore, this research examines implementation challenges, cultural barriers, and opportunities for leveraging AI in Iran’s construction sector. Findings highlight that adopting an intelligent model can transform project management practices and address common challenges. This study emphasizes innovation, localized adaptability, and offers preliminary data as a foundation for future research.
Keywords: Artificial Intelligence in Construction Management, Resource and Project Scheduling Optimization, Building Information Modeling (BIM), Machine Learning Algorithms, Construction Simulation, Smart Decision-Making.
fathi, Z., & gholamzade hamgharin, Z. (2024). Development of an AI-Based Intelligent Model for Optimizing Scheduling and Managing Construction Projects in Iran. Civil Engineering and new Technologies, 4(4), -.
MLA
zohair fathi; zahra gholamzade hamgharin. "Development of an AI-Based Intelligent Model for Optimizing Scheduling and Managing Construction Projects in Iran", Civil Engineering and new Technologies, 4, 4, 2024, -.
HARVARD
fathi, Z., gholamzade hamgharin, Z. (2024). 'Development of an AI-Based Intelligent Model for Optimizing Scheduling and Managing Construction Projects in Iran', Civil Engineering and new Technologies, 4(4), pp. -.
VANCOUVER
fathi, Z., gholamzade hamgharin, Z. Development of an AI-Based Intelligent Model for Optimizing Scheduling and Managing Construction Projects in Iran. Civil Engineering and new Technologies, 2024; 4(4): -.
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