Dimensionamiento de flota de acarreo para el incremento de producción en Minera Las Lomas Doradas, Piura, 2024
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Date
2024-10
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Universidad Nacional de Trujillo
Abstract
El propósito principal del estudio fue dimensionar la flota de acarreo de mineral para aumentar la producción en Minera las Lomas Doradas, Piura, 2024.
El enfoque fue cuantitativo, tipo aplicada y diseño pre-experimental en donde se tomó como población la flota de carguío y acarreo de la empresa y la muestra estuvo conformada por 28 tiempos de ciclo de la flota de acarreo. El instrumento que se utilizó fue una guía de observación en campo, así mismo, fue sometido a un juicio de expertos para su validación, posteriormente se halló la fiabilidad mediante la prueba T de Student para muestras relacionadas con un t es 154.665, valor crítico de t de 1.70 y con una significancia (sig.<0.05) Según lo obtenido por los resultados, se logró obtener la flota ideal de 4 volquetes Scania R620 que lograron cumplir la meta de producción, además de la disminución de los tiempos de ciclo promedio de 13.90 min/ciclo a 9.47 min/ciclo. Además, se logró disminuir el tiempo de cola del camión en el equipo de carguío de mineral de 6.92 min/ciclo a 2.47 min/ciclo. Respecto a la unidad de carguío hubo una disminución de su productividad operativa de 509.78 tn/hr a 499.42 tn/hr debido al cambio de todo de una flota de 6 camiones a 4 camiones.
Se concluye que una mejora y correcto dimensionamiento de flota de acarreo en una operación minera, se logra optimizar el proceso con el uso de una flota menor disminuyendo significativamente el ciclo de la flota y cumpliendo de acuerdo al plan mensual de producción haciendo uso de pocos recursos, así como la reducción de la flota de camiones.
The main purpose of the study was to size the hauling fleet to increase production at Minera Las Lomas Doradas, Piura, 2024. The approach was quantitative, applied type, and pre-experimental design, where the population consisted of the loading and hauling fleet of the company, and the sample was made up of 28 cycle times from the hauling fleet. The instrument used was a field observation guide, which was subjected to expert judgment for validation. Subsequently, reliability was assessed using the Student's T-test for related samples, with a t-value of 154.665, a critical t-value of 1.70, and a significance level (sig. < 0.05). According to the results obtained, the ideal fleet of 4 Scania R620 trucks was identified, which met the production target, along with a reduction in average cycle times from 13.90 min/cycle to 9.47 min/cycle. Additionally, the truck queue time at the mineral loading equipment decreased from 6.92 min/cycle to 2.47 min/cycle. Regarding the loading unit, there was a decrease in its operational productivity from 509.78 tn/hr to 499.42 tn/hr due to the transition from a fleet of 6 trucks to 4 trucks. It is concluded that an improvement and correct sizing of the hauling fleet in a mining operation optimizes the process by using a smaller fleet, significantly reducing the fleet cycle and complying with the monthly production plan while using fewer resources, as well as reducing the number of trucks.
The main purpose of the study was to size the hauling fleet to increase production at Minera Las Lomas Doradas, Piura, 2024. The approach was quantitative, applied type, and pre-experimental design, where the population consisted of the loading and hauling fleet of the company, and the sample was made up of 28 cycle times from the hauling fleet. The instrument used was a field observation guide, which was subjected to expert judgment for validation. Subsequently, reliability was assessed using the Student's T-test for related samples, with a t-value of 154.665, a critical t-value of 1.70, and a significance level (sig. < 0.05). According to the results obtained, the ideal fleet of 4 Scania R620 trucks was identified, which met the production target, along with a reduction in average cycle times from 13.90 min/cycle to 9.47 min/cycle. Additionally, the truck queue time at the mineral loading equipment decreased from 6.92 min/cycle to 2.47 min/cycle. Regarding the loading unit, there was a decrease in its operational productivity from 509.78 tn/hr to 499.42 tn/hr due to the transition from a fleet of 6 trucks to 4 trucks. It is concluded that an improvement and correct sizing of the hauling fleet in a mining operation optimizes the process by using a smaller fleet, significantly reducing the fleet cycle and complying with the monthly production plan while using fewer resources, as well as reducing the number of trucks.
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TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Mining engineering