The objective of this initiative was to deploy capabilities in predictive analytics into a digital platform to predict operational issues in the process in real-time and integrate the knowledge of chemistry for enhanced decision making by all operators.
This tool provided operators with an overview of current production rate across different stages with different levels of warning in production of off-quality product in each stage. This enabled operators to proactively address potential issues, optimizing decision-making and resource allocation.
Implementation of this solution at the mill empowered operations teams to streamline the production process and set a foundation for a more resilient and agile decision-making process.
This transformative tool was a testament to the mill’s commitment to Operational Excellence leveraging capabilities in artificial intelligence focused on continuous improvement. It marks a shift towards a data-driven paradigm, where predictive analytics not only refines product quality but also contributes to the overall efficiency and competitiveness of the pulp and paper manufacturing process.