Abstract:
In any modern industrial process, one of the biggest challenges faced is maintaining a consolidated database so that it can be the main source for analysis and decision-making. Different processes and actions of those involved contribute to the creation of different versions of industrial facts: indicators, adopted constants, and even process data may differ between areas or even between shifts in the same area. The objective of this work was to develop a unique integrated view of the entire bauxite custody chain, from mining fronts to dewatering for Alunorte, to ensure reliability and fast availability of industrial data from different sources for those who need it, and to provide production and quality information for batches and production lots throughout all stages of the bauxite production cycle. Additionally, based on the availability obtained for the information, reports, and dashboards that used to take long periods to build were automated, freeing up valuable time for analysis and assertive decision-making. The work developed in this project lays the groundwork for future advances in more complex analyses, such as machine learning solutions, which will allow for quality predictions and early corrective actions.