## 6 Conclusions  
This paper highlights the benefits of using a Digital Twin (DT) to enhance a production line's operational efficiency. The DT was developed using Siemens Tecnomatix Plant Simulation software, which accurately replicated the physical production process, enabling the identification of bottlenecks and inefficiencies. The results show a high level of accuracy, confirming the DT's ability to understand and reproduce production line behaviour.  
The main impact of the project was the demonstration of the DT as a decision-support tool, integrating real-time data and enabling detailed simulations. This allowed for managers to explore different operational strategies and choose the most effective ones, thereby improving the production flow, reducing risks, and optimizing resources.  
This work contributes significantly to the literature on Industry 4.0, providing practical guidance on implementing the DT in real-world scenarios. This detailed case study offers a concrete example of how this technology can improve business operations.  
The implementation of the DT in the host facility demonstrated its potential, opening opportunities for other companies to adopt digitization technologies and enhance their efficiency and competitiveness. Integration with emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) could further enhance the analysis and optimization capabilities of the DT, paving the way for industrial innovation. From a managerial perspective, DT integration allows for strategic decision-making by simulating operational scenarios and real-time monitoring, enabling risk reduction, resource optimization, and process improvement. On a broader scale, DT technology contributes to sustainable production practises by optimizing operations, reducing waste, and improving resource efficiency. It also creates a safer working environment by predicting machine failures and reducing unplanned maintenance. In conclusion, this paper emphasizes the strategic role of DTs in Industry 4.0, showcasing their ability to significantly improve operational efficiency and resource management. The success achieved in this practical case provides a solid foundation for expanding DT applications to other industrial contexts, driving the adoption of emerging technologies and enhancing companies' competitiveness. The DT's integration of real-time data, simulations of future scenarios, and optimization capabilities establishes it as a crucial component for the future of modern industry.  
Conceptualization, I.C.F.; methodology, A.S. and G.L., validation, I.C.F., A.S. and G.L.; investigation, G.L.; resources, I.C.F.; writing--original draft preparation, G.L.; writing--review and editing, I.C.F.; supervision, I.C.F., A.S. and M.M.S.; project administration, M.M.S.; funding acquisition, M.M.S. All authors have read and agreed to the published version of the manuscript.  
This research was funded by \"Progetto ECS 0000024 Rome Technopole--CUP E83C22003240001, PNRR Mission 4 Component 2 Investment 1.5, funded by European Union--NextGenerationEU.  
Data are contained within the article.  
The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.