Optimizing Crane Logistics in Tall Buildings: A GIS-GPS Integrated Approach

The operational complexity of crane usage in high-rise construction presents significant challenges in terms of efficiency, safety, and cost management. Traditional planning methods are often inadequate for navigating the dynamic and constrained environments of modern urban construction sites, leading to project delays and increased expenses. This paper proposes a robust decision-making framework that integrates Geographic Information Systems (GIS) and Global Positioning Systems (GPS) to optimize crane operations. By leveraging spatial data analysis for site layout planning and real-time GPS tracking for crane movement, the framework provides a comprehensive solution for enhancing operational performance. The methodology was validated through a case study of a high-rise construction project in Mumbai, India. A MATLAB-based model was developed to simulate and optimize crane placements, load distribution, and work schedules. The results demonstrate significant improvements, including a 10-15% reduction in fuel consumption, a 10-13% decrease in operational time and costs, and enhanced site safety through collision avoidance. The framework offers a systematic, data-driven approach to crane management, proving to be a highly effective tool for modern construction projects