Bibliographic citations
Bazalar, J., (2023). Propuesta de un modelo de simulación de líneas de espera para optimizar el tiempo y el número de camiones de transporte de material y palas de la mina de Fosfato Bayovar a la planta concentradora [Tesis, Universidad Privada Antenor Orrego - UPAO]. https://hdl.handle.net/20.500.12759/10365
Bazalar, J., Propuesta de un modelo de simulación de líneas de espera para optimizar el tiempo y el número de camiones de transporte de material y palas de la mina de Fosfato Bayovar a la planta concentradora [Tesis]. PE: Universidad Privada Antenor Orrego - UPAO; 2023. https://hdl.handle.net/20.500.12759/10365
@misc{renati/372782,
title = "Propuesta de un modelo de simulación de líneas de espera para optimizar el tiempo y el número de camiones de transporte de material y palas de la mina de Fosfato Bayovar a la planta concentradora",
author = "Bazalar Landa, Jorge Luis",
publisher = "Universidad Privada Antenor Orrego - UPAO",
year = "2023"
}
The present investigation in the Sechura Mine, operated by the MiskiMayo Company, was carried out to determine the optimal number of mining trucks and shovels necessary to transport the mineral to the storage area, avoiding shortages in the concentrator plant. In this simulation work, the Arena software version 12 student type was used as a support tool. In this sense, after carrying out the scenarios, based on the real production parameters of the MiskiMayo company, it was obtained that the company currently operates with 7 shovels and 20 mining trucks moving 10'099,249.78 tons per year, which figure is approximate in 3.9% compared to the production published by the company MiskiMayo in 2016, as well as 916,000 mt in the month of May 2021 and the model carried out gave us 918,000 monthly results, with an approximate difference of 0.02%, which validates the simulation work performed. Then the scenarios are carried out with approximate parameters of 18 and 22 trucks with 6 and 8 shovels and an optimum recommended value of 22 trucks with 8 shovels is obtained, which increases the transfer of ore by approximately 5%. Regarding the operating costs, by reference to what Cabezas Oruna (2011) mentions that the mining investment was 566 million dollars and on the other hand the Caterpillar Company, with its world leadership experience, indicates in table 3, that more than 40% of the cost is for excavation and transportation, which is equivalent to approximately 226.4 million dollars.
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