## 3 Results
### Propositional Stage
Nevertheless, the ROI was calculated based on actual investment and revenue data, reinforcing its validity as a decision-support tool. In future implementations particularly in more complex industrial environments sensitivity analyses, advanced financial indicators, and more detailed cost models will be incorporated, in line with best practices for the economic evaluation of emerging technologies. In addition to financial performance, the methodology supports core aspects of environmental sustainability. By enabling real-time feedback and predictive control, the DT improved the uniformity of compost batches, reduced process variability, and optimized the use of resources such as energy and water. For example, more accurate aeration control minimized electricity usage, while targeted irrigation reduced water consumption. These outcomes are aligned with the principles of the circular economy, particularly in terms of:  
* Waste reduction: By maximizing the conversion of organic matter into usable compost. * Resource efficiency: Through optimized inputs and reduction in rework. * Closed-loop systems: Where outputs are reintegrated into productive agricultural cycles. The DT system not only improves process performance but also strengthens the regenerative logic of circular systems by enabling data-driven decision-making, local deployment, and continuous improvement. The proposed methodology was also compared to that of Qamsane [16], revealing significant advantages in several dimensions. In terms of adaptability and customization, the proposed approach demonstrated superior flexibility by allowing adjustments tailored to specific contexts--such as composting--through a modular and scalable design. This contextual focus contrasts with the more general-purpose orientation of Qamsane's methodology. Regarding implementation cost, the use of existing infrastructure and open technologies resulted in substantial savings, significantly outperforming the compared model. While Qamsane's solution offered greater interoperability, especially in standardized manufacturing environments, the methodology presented here excelled in domain-specific flexibility by enabling iterative refinements throughout the deployment cycle. Both methodologies proved to be scalable; however, the proposed approach stands out for its continuous customization capabilities. Additionally, the reduced technical complexity of the system makes it more accessible and practical for low-tech environments, increasing its potential impact in developing regions or resource-constrained scenarios. A more extensive comparative analysis--including additional methodologies and evaluation criteria--isavailable in the author's doctoral thesis, where the proposed methodology is examined in greater technical and contextual depth. The economic impact was also significant. The application of the DTs increased the monthly compost production by 1200 kg, from 5600 to 6800 kg. This increase was accompanied by an exceptional ROI of 18,857.6%, establishing it as a highly profitable investment in industrial processes. Additionally, more efficient resource management was achieved, reducing operational costs and optimizing operations.