The initiative reduces treatment-related losses through data collection, analysis, decision support, and continuous improvement. Systematically gathering relevant data during treatment processes aims to uncover critical insights into the factors contributing to losses. This data-driven approach enables more accurate analysis, providing a solid foundation for decision-making and implementing targeted measures to minimise waste. Additionally, the project emphasises an ongoing process of refinement, where lessons learned are used to improve practices over time. By combining advanced analytics, strategic decision support, and a commitment to continuous enhancement, the initiative seeks to optimise outcomes and ensure more sustainable and efficient operations.
Target Statement:
Reduce treatment-related losses through data-driven analysis, decision support, and continuous improvement.
Expected Result Statements:
1. Systematically collect and analyze treatment process data to identify loss factors.
2. Enable informed decision-making with accurate, data-backed insights.
3. Implement targeted measures to minimize waste and improve efficiency.
4. Foster continuous refinement of practices for sustainable operations.
