Digital twin technology is increasingly vital across various industries, offering a sophisticated virtual representation of physical assets. These models integrate real-time data to reflect their real-world counterparts as accurately as possible, facilitating operational optimizations, enhancing decision-making, and boosting productivity, particularly in manufacturing, digital twins improve efficiency, anticipate maintenance needs, and optimize resource use, thereby reducing costs and enhancing the automation sector.

Virtual commissioning is gaining prominence as a complementary methodology that can be amalgamated to exiting manufacturing and automation methodology. By simulating production processes virtually, it allows for extensive testing, analysis, and optimization without the need for physical prototypes. This approach not only identifies and resolves bottlenecks but also optimizes resource deployment and improves overall production efficiency The early detection and resolution of issues minimize downtime and deployment risks, significantly reducing costs and accelerating market readiness.

In conclusion, the findings emphasize the critical role of digital twins and virtual commissioning in enhancing real-time data integration and interoperability. The study demonstrates how these technologies can streamline the implementation process and provides strategic recommendations to improve virtual commissioning practices across various industries. It also identifies future research areas to further refine and expand the application of digital twins and virtual commissioning in manufacturing. Consequently, this research contributes to a deeper understanding of how virtual commissioning, supported by digital twins, can optimize and improve traditional commissioning processes. Moreover, it assists GKN in leveraging these advanced practices in their procurement of new automated cells, maximizing the associated benefits.