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This study enhances decision-making and production monitoring in aeronautical assembly lines, focusing on visualizing performance evolution using a KPI tree and varied aggregation methods. By representing trajectory in a three-dimensional space, it facilitates effective risk and opportunities detection, pattern recognition, and trend analysis. The aim is to contribute valuable insights for mitigating disruptions and improving production rates in the aerospace industry, leveraging immersive technologies for comprehensive understanding and advancing decision support systems.