Digital Twin in action: Transforming workforce management for smarter infrastructure

Abstract

This research investigates the transformative role of Digital Twin Technology (DTT) in workforce management within the infrastructure sector. As infrastructure projects grow in scale and complexity, traditional methods of workforce planning—often static, siloed, and reactive—struggle to meet the dynamic demands of modern project environments. DTT, a virtual replica of physical processes and resources, offers a real-time, data-driven approach to monitor, simulate, and optimize workforce operations. The proposed digital workforce model integrates real-time monitoring, AI-driven analytics, and decision support systems to forecast staffing needs and optimize resource deployment. This research contributes to the evolving field of smart infrastructure by offering practical insights and a scalable framework for integrating digital twins into workforce management, while also highlighting challenges and ethical considerations for future adoption.