## 6 Conclusions  
The implementation of the Digital Twin-based monitoring system for 150 printing resources demonstrated significant improvements in production efficiency and real-time machine monitoring capabilities. * Real-time Synchronization:  
The system achieved a 1 s average synchronization rate per resource across 150 machines. This rapid data update allows for immediate reflection of operational changes, ensuring smooth communication between operators, maintenance staff, and coordinators. The 714,644 actions logged within a week reflect the high-frequency monitoring and the system's capacity to manage multiple resources efficiently. * Reduction in Production Time:  
The production time per resource decreased by 10% compared to the previous week, highlighting the effectiveness of real-time data synchronization and improved coordination between various departments. This time reduction is crucial for increasing throughput and reducing machine downtime, contributing to better overall productivity. * Windows and Android Modules:  
The Windows module effectively monitors CNC machine parameters and updates operational information in real-time as operators perform actions. The Android module complements this by enabling operators to log activities and track orders at their respective CNC machines, with real-time updates across both platforms. This dual-module system enhances operator accountability, operational transparency, and the coordination of production tasks. * Server Performance:  
The infrastructure utilized, including a Microsoft Windows Server 2022 with Intel Xeon Gold 6346 processors and 16 GB RAM, performed efficiently in managing the large volume of data updates and synchronization tasks for 150 machines in parallel. This scalability and performance indicate that the system could handle larger or more complex operations in the future. * Comparison with Other Solutions:  
Figure 26: Comparison with other similar solutions. When compared to existing software solutions, the proposed system demonstrated several advantages, particularly in real-time data synchronization, customized functionalities, and integration with IoT devices. The unique combination of.NET interface and SQL database for storage and retrieval offers flexibility and scalability for future expansions or integrations with other systems. * Order Tracking:  
The system tracked an average of 500 orders per day, showcasing its capability to handle a high volume of operational data, further affirming its potential to enhance workflow efficiency and ensure timely completion of production tasks. * Performance Tracking and Notifications:  
The integration with the Notification Hub to track resource connections demonstrated a reliable communication mechanism between machines and operators, ensuring that any discrepancies or required maintenance could be addressed promptly. Overall, the Digital Twin system for CNC machine monitoring has proven to be a highly efficient and scalable solution, delivering 10% faster production times, real-time updates, and effective operator-machine synchronization. This makes it a promising tool for enhancing productivity in the manufacturing industry. Development Directions  
This research marks the initial step in exploring and implementing the Digital Twin concept. Currently, the focus is on real-time monitoring of production processes and the operating parameters of CNC (Computer Numerical Control) machines. Future development will involve advancing towards a system that automatically collects operating parameters directly from the CNC machines. Key aspects of this evolution include the following:  
* Automated data collection system: The development of software or hardware capable of automatically retrieving CNC operating parameters without manual operator input. This will ensure more accurate and efficient data collection. * Performance analysis and reporting software: A dedicated software solution will be created to analyze the gathered data and generate detailed reports on CNC performance.