Análisis de demoras de equipos con Power Bi para mejorar el rendimiento operativo de equipos de servicios auxiliares mina, Shahuindo
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Date
2024-04
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Universidad Nacional de Trujillo
Abstract
El objetivo principal de la investigación fue incrementar el rendimiento operativo de los equipos auxiliares mina a partir del análisis de demoras con Power Bi en el proyecto Shahuindo.
La metodología que se utilizó es de diseño no experimental, descriptivo. La validación de los instrumentos se realizó por un especialista en el tema. Los resultados obtenidos se evidenciaron demoras Operativas, no operativas y de mantenimiento que mermaban el rendimiento de los equipos y se plantearon medidas y planes para disminuir dichas demoras. Se registraron 7560.01 horas totales en acarreo y 1176 horas en carguío. El rendimiento operativo para el acarreo de material over liner, relleno e inadecuado fue de 18.35, 31.97 y 19.39 m3/hora, respectivamente. Para los equipos de carguío, el rendimiento para el over liner, relleno e inadecuado fue de 93.39, 117.72 y 85.88 m3/hora, respectivamente. Se observaron incrementos significativos en rendimiento. En el acarreo, el rendimiento para el material over liner se incrementó en 0.50% en noviembre y 2.06% en diciembre. Para el relleno, el aumento fue del 8.87% en octubre y 0.11% en diciembre, mientras que, para el material inadecuado, el incremento fue del 6.73% en octubre. En carguío, el rendimiento para el over liner se incrementó en 24.23% en noviembre y 2.38% en diciembre. Para el relleno, se observó un aumento del 15.68% en diciembre, mientras que, para el material inadecuado, el aumento fue del 13.05% en noviembre.
En conclusión, con el análisis de demoras operativas con Power Bi se incrementó el rendimiento operativo de los equipos auxiliares mina en el proyecto Shahuindo.
The primary objective of this research was to enhance the operational performance of auxiliary mine equipment through the analysis of operational delays using Power Bi in the Shahuindo. The methodology used is a non-experimental, descriptive design. The validation of the instruments was carried out by a specialist in the subject. The results obtained showed operational, non-operational and maintenance delays that reduced the performance of the equipment and measures and plans were proposed to reduce these delays. A total of 7560.01 hours were recorded for haulage and 1176 hours for loading. The operational performance for the haulage of over liner material, backfill, and inadequate material was 18.35, 31.97, and 19.39 m3/hour, respectively. For the loading equipment, the performance for over liner, backfill, and inadequate material was 93.39, 117.72, and 85.88 m3/hour, respectively. Significant increases in performance were observed. In haulage, the performance for over liner material increased by 0.50% in November and 2.06% in December. For backfill, the increase was 8.87% in October and 0.11% in December, whereas, for the inadequate material, the increase was 6.73% in October. In loading, the performance for over liner increased by 24.23% in November and 2.38% in December. For backfill, an increase of 15.68% was observed in December, while for inadequate material, the increase was 13.05% in November. In conclusion, the analysis of operational delays with Power Bi led to an increase in the operational performance of auxiliary mine equipment in the Shahuindo project.
The primary objective of this research was to enhance the operational performance of auxiliary mine equipment through the analysis of operational delays using Power Bi in the Shahuindo. The methodology used is a non-experimental, descriptive design. The validation of the instruments was carried out by a specialist in the subject. The results obtained showed operational, non-operational and maintenance delays that reduced the performance of the equipment and measures and plans were proposed to reduce these delays. A total of 7560.01 hours were recorded for haulage and 1176 hours for loading. The operational performance for the haulage of over liner material, backfill, and inadequate material was 18.35, 31.97, and 19.39 m3/hour, respectively. For the loading equipment, the performance for over liner, backfill, and inadequate material was 93.39, 117.72, and 85.88 m3/hour, respectively. Significant increases in performance were observed. In haulage, the performance for over liner material increased by 0.50% in November and 2.06% in December. For backfill, the increase was 8.87% in October and 0.11% in December, whereas, for the inadequate material, the increase was 6.73% in October. In loading, the performance for over liner increased by 24.23% in November and 2.38% in December. For backfill, an increase of 15.68% was observed in December, while for inadequate material, the increase was 13.05% in November. In conclusion, the analysis of operational delays with Power Bi led to an increase in the operational performance of auxiliary mine equipment in the Shahuindo project.
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TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Mining engineering