Monitoreo de tareas de reparación de piezas en el Centro de Investigación y Recuperación de Turbinas mediante Power BI.

In this work, a system for monitoring repair tasks of components at the Turbine Research and Recovery Center was developed using Power BI. The objective was to improve process control and decision-making in the repair process, addressing issues related to task tracking, dispersed documentation, and the lack of standardized metrics. Through an initial operational diagnosis, it was determined that information management was dispersed across various sources, and the manual creation of reports increased response and data processing times, which generated delivery delays and caused low operational productivity in the management area. This study applied a quantitative, non-experimental, and descriptive approach. The research combined field data collection with a review of existing process flowcharts. Additionally, by consulting the area manager, operational timing data was gathered. After analyzing the timing data, it was determined that the execution stage is the most critical point, representing 80.36% of the total time. A system consisting of three fundamental components was developed: an SQL database to centralize information, a Python-based desktop application for operational management, and a Power BI dashboard for project information visualization. The designed system monitors projects and their respective tasks, eliminates the generation of scattered documentation, and facilitates the identification of project deviations. It is concluded that the integration of Business Intelligence with industrial engineering can significantly improve operational efficiency, process traceability and decision-making at the CIRT.

• Автор: Lluman Guatatuca, Francisco Javier (author)
• Формат: bachelorThesis
• Мова: spa
• Опубліковано: 2026
• Предмети: Monitoreo; Inteligencia de negocios; Power BI; KPIs
• Онлайн доступ: http://dspace.unach.edu.ec/handle/51000/16393