BUILDING INFORMATION MODELING (BIM) AND SMART TECHNOLOGY INTEGRATION FOR OPTIMIZATION BUILDING LIFE CYCLE MANAGEMENT

Abstract

This review highlights the pivotal role of Building Information Modeling (BIM) as an integrated digital foundation for improving decision-making across the entire building lifecycle. The five journals collectively demonstrate how BIM, when combined with advanced computational techniques, transforms traditional static planning into dynamic and adaptive management systems. Several studies focus on construction scheduling, where BIM is integrated with Artificial Intelligence (AI), simulation methods, and optimization algorithms to overcome the limitations of conventional tools such as Gantt charts. Dynamic scheduling frameworks incorporating Discrete Event Simulation, System Dynamics, and metaheuristic algorithms enable real-time adjustments to productivity, cost, and time, significantly improving schedule accuracy. Optimization approaches are also applied in operation and maintenance phases, where Integer Linear Programming and microservice-based BIM architectures reduce maintenance disruptions and operational downtime. Additionally, BIM-based constructability assessment and scheduling using metaheuristic algorithms further enhance project efficiency. From a sustainability perspective, BIM tools are used to optimize building energy performance, achieving substantial reductions in energy consumption while meeting international standards. Overall, these studies confirm that integrating BIM with AI, simulation, and optimization techniques is essential for achieving efficient, accurate, and sustainable project management throughout the building asset lifecycle.