Digital Twins and Automation in Construction Project Lifecycle Management

The construction industry is undergoing a rapid digital transformation driven by the convergence of automation, artificial intelligence, and digital twin technologies. This study explores how digital twins can be effectively integrated with automation systems across the construction project lifecycle to enhance efficiency, sustainability, and decision accuracy. By synthesizing insights from Construction 4.0 frameworks, cyber-physical systems theory, and systems engineering principles, the research identifies critical pathways linking virtual-physical synchronization to lifecycle optimization. A mixed-methods approach was adopted, combining case analysis, simulation data, and expert validation to assess performance improvements in project delivery, safety, and cost management. Results reveal that automation, when coupled with digital twins, enables predictive monitoring, real-time control, and continuous feedback loops that reduce project delays and operational risks. Furthermore, findings highlight the challenges of interoperability, data governance, and workforce readiness that influence implementation success. The study proposes a conceptual framework and strategic roadmap to guide practitioners, policymakers, and technology developers toward holistic lifecycle integration. Overall, the research underscores the transformative potential of digital twin–automation synergy as a foundation for sustainable and intelligent construction project management.