Impacto del dimensionamiento de flota de transporte en incremento de producción en Mina Summa Gold – El Toro
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Date
2024-04
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Universidad Nacional de Trujillo
Abstract
El presente trabajo de investigación tuvo como propósito principal, determinar cómo influye el adecuado dimensionamiento de flota en el incremento de la producción en la Unidad Minera Summa Gold.
La metodología que se utilizó para realizar este estudio es de tipo aplicado, de diseño no experimental, de nivel descriptivo, la población lo conformo los equipos de transporte utilizados en la operación minera y la muestra está dada por las unidades de la contrata minera TRA SAC.
En los resultados obtuvimos que al realizar un dimensionamiento de flota óptima de transporte se logró determinar que el número de unidades requeridas para los frentes analizados es de 13 volquetes. Donde se tenía un sobre dimensionamiento de 5 camiones, que generaban tiempos improductivos. También se obtuvo que el Factor de Acoplamiento inicialmente era de 1.51 y luego se determinó el valor de 1.10, el cual nos permite tener mejores rendimientos en carguío y trasporte.
Finalmente, se ha llegado a la conclusión de que la producción diaria inicialmente promediaba en 3,732.12 m3 con el uso de 18 volquetes de 20 m3 de capacidad. Sin embargo, después de realizar el estudio se ha determinado que se empleó 13 camiones para los frentes de trabajo tomados para análisis, donde se tiene un aumento de producción en 4,635.94 m3, representando un incremento del 24%. Así mismo esto nos permite reducir el costo de carguío y acarreo en un 29%.
The main purpose of this research work was to determine how the adequate fleet sizing influences the increase in production at the Summa Gold Mining Unit. The methodology used to carry out this study is applied, non-experimental design, descriptive level, the population is made up of the transport equipment used in the mining operation and the sample is given by the units of the mining contract TRA SAC. In the results, we obtained that when we carried out a sizing of the optimal transport fleet, we were able to determine that the number of units required for the analysed fronts was 13 dump trucks. There was an oversizing of 5 trucks, which generated unproductive times. It was also obtained that the Coupling Factor was initially 1.51 and then the value of 1.10 was determined, which allows us to have better performance in loading and transport. Finally, it has been concluded that daily production initially averaged 3,732.12 m3 with the use of 18 dump trucks of 20 m3 capacity. However, after carrying out the study it has been determined that 13 trucks were used for the work fronts taken for analysis, where we have an increase in production of 4,635.94 m3, representing an increase of 24%. This also allows us to reduce the cost of loading and hauling by 29%.
The main purpose of this research work was to determine how the adequate fleet sizing influences the increase in production at the Summa Gold Mining Unit. The methodology used to carry out this study is applied, non-experimental design, descriptive level, the population is made up of the transport equipment used in the mining operation and the sample is given by the units of the mining contract TRA SAC. In the results, we obtained that when we carried out a sizing of the optimal transport fleet, we were able to determine that the number of units required for the analysed fronts was 13 dump trucks. There was an oversizing of 5 trucks, which generated unproductive times. It was also obtained that the Coupling Factor was initially 1.51 and then the value of 1.10 was determined, which allows us to have better performance in loading and transport. Finally, it has been concluded that daily production initially averaged 3,732.12 m3 with the use of 18 dump trucks of 20 m3 capacity. However, after carrying out the study it has been determined that 13 trucks were used for the work fronts taken for analysis, where we have an increase in production of 4,635.94 m3, representing an increase of 24%. This also allows us to reduce the cost of loading and hauling by 29%.
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TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Mining engineering