Digital twins, digital representations of physical systems, are vital for Industry 4.0 but face challenges like data quality, scalability, and integration with older systems. The 2023 study introduced a digital twin demonstrator using the Fischertechnik Learning Factory 4.0, focusing on foundational integration and visualization. It utilized industrial-grade hardware like the Siemens S7-1500 PLC and tools such as Unity and Realvirtual.io for simulation but did not implement full control of physical assets. The 2024 follow-up study expands this demonstrator to include new features and use cases. Key advancements include a cloud-based control system for remote management and scalability. A collision warning system is introduced to enhance safety by predicting hazards and enabling preventive actions. A product defect notification system is added for real-time quality control, reducing waste and improving sustainability. These features aim to optimize manufacturing processes, enhance safety, and improve product quality. The study addresses critical use cases like cloud control and defect detection while offering practical solutions for manufacturing challenges. It provides valuable insights for advancing digital twin technology in industrial applications.