Citas bibligráficas
Cisneros, B., (2023). Parámetros operativos que afectan la productividad en el carguío en la unidad minera Colquijirca, 2023 [Universidad Nacional de Trujillo]. https://hdl.handle.net/20.500.14414/20498
Cisneros, B., Parámetros operativos que afectan la productividad en el carguío en la unidad minera Colquijirca, 2023 []. PE: Universidad Nacional de Trujillo; 2023. https://hdl.handle.net/20.500.14414/20498
@misc{renati/1050068,
title = "Parámetros operativos que afectan la productividad en el carguío en la unidad minera Colquijirca, 2023",
author = "Cisneros Baca, Bryan",
publisher = "Universidad Nacional de Trujillo",
year = "2023"
}
The objective of the research was to improve the productivity of the Colquijirca mining company's loading fleet through proposals based on the management of performance indicators. An applied methodology of non-experimental-transversal design was used and four VOLVO EC950E excavators were analyzed as a sample of the total population of loading equipment. Through a multiple regression analysis, a 96% correlation was found between loading and waiting times, identifying these parameters as the main factors affecting productivity. From these results, a prediction equation was developed, where productivity (represented as Y) was related to loading and waiting times (x1 and x2, respectively). The proposed equation was Y = 409.19 + 88.83x1 + 409.30x2. Based on this modeling, changes were proposed to improve loading productivity, focusing on reducing loading time and minimizing waiting times of the loading fleet. In conclusion, it was determined that the reduction of loading and waiting times is fundamental to improve productivity in loading at the Colquijirca mining company. These proposals based on the management of performance indicators have the potential to optimize the performance of the loading fleet and, therefore, improve the efficiency of mining operations.
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