Digital twin technology in Industry 4.0: revolutionising quality control in intelligent manufacturing

This chapter addresses the essential role of digital twin (DT) technology in improving intelligent manufacturing systems (IMS) as part of Industry 4.0. As businesses evolve towards highly adaptive, efficient and autonomous production environments, DT offers real-time communication between physical assets and their digital equivalents, fostering a dynamic interchange of data that promotes decision-making and operational efficiency. IMS uses disruptive technologies such as the Internet of Things, artificial intelligence and cloud computing to promote innovations that meet shifting demands and retain system flexibility. The chapter introduces a systematic five-layer framework for DT implementation, including important components such as digital models, shadows and twins, which permit complex data integration together. By integrating DT into quality control, manufacturing operations can proactively resolve quality concerns, monitor system health and optimise production cycles. The DT-based predictive methodology replaces traditional reactive quality assurance approaches, allowing for real-time problem diagnosis, predictive maintenance and increased uniformity in product standards. Moreover, the chapter illustrates how DT-driven quality control may increase supply chain integrity, reduce downtime and extend asset lifespan, thereby supporting sustainability goals and regulatory compliance. As manufacturing ecosystems grow increasingly, networked DT technology stands as a revolutionary force, integrating production techniques with the ideals of Industry 4.0. Through a deep assessment of DT applications and practical guidance, this chapter gives insights into implementing DT to boost modern production systems' resilience, intelligence and adaptability.