Special Issue Information

The rapid evolution of Industry 4.0 technologies has redefined manufacturing processes, focusing on digital transformation and automation. Central to this revolution is the concept of Digital Twins, which bridge the physical and digital worlds by creating virtual replicas of physical assets, systems, or processes. These digital counterparts are crucial in optimising operations, enhancing decision-making, and fostering more intelligent manufacturing environments. Alongside Digital Twins, automation and artificial intelligence (AI) have significantly enhanced productivity, efficiency, and flexibility across industries, enabling real-time monitoring, predictive maintenance, and advanced manufacturing processes.

However, while Digital Twins and automation have opened new frontiers, challenges remain in integrating these technologies across diverse sectors. Effective data integration, system interoperability, and real-time analytics are pivotal in maximising the potential of these innovations. This Special Issue (SI) aims to showcase the latest advancements in Digital Twin technologies, automation, and their integration with emerging Industry 4.0 technologies, focusing on their application in manufacturing, logistics, and other industrial sectors. By examining current trends, challenges, and opportunities, this SI provides a platform for advancing the application and understanding of these transformative technologies in modern industries.

The issue will explore how Digital Twins, combined with automation, AI, and machine learning, are improving operational efficiency, reducing costs, and ensuring sustainability in industrial environments. Contributions will highlight both the theoretical and practical applications of these technologies, providing valuable insights for researchers, engineers, and industry professionals.

Keywords of the Special Issue:
• Digital Twins
• Automation in manufacturing
• Industry 4.0 technologies
• Virtual Reality and Augmented Reality
• Artificial intelligence in Construction
• Machine learning applications
• Predictive maintenance
• Industrial data analytics
• Internet of Things (IoT) 
• Cyber-physical systems
• Advanced manufacturing technologies
• Real-time monitoring in industry
• AI-driven production systems
• Simulation-based optimisation
• Supply chain optimisation
• Digital transformation in manufacturing
• Smart manufacturing systems
• Advanced robotics in industry

This Special Issue, in collaboration with 11th International Conference on Innovative Production and Construction (IPC2025), welcomes both selected conference papers and high-quality external submissions.

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