Citas bibligráficas
Chavez, J., (2023). Estudio de las demoras operativas de la flota de acarreo en minas a tajo abierto para incrementar la productividad de la operación [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/26920
Chavez, J., Estudio de las demoras operativas de la flota de acarreo en minas a tajo abierto para incrementar la productividad de la operación [Tesis]. PE: Universidad Nacional de Ingeniería; 2023. http://hdl.handle.net/20.500.14076/26920
@misc{renati/712808,
title = "Estudio de las demoras operativas de la flota de acarreo en minas a tajo abierto para incrementar la productividad de la operación",
author = "Chavez Garibay, Jostin Willian",
publisher = "Universidad Nacional de Ingeniería",
year = "2023"
}
The present investigation refers to the study of operational delays in the haulage fleet in open pit mining operations. The unit of analysis can be any operation that has the record and control of delays of the different fleets such as loading, hauling, drilling and auxiliaries. In large-scale mining operations, the teams have a technological system called the fleet management system that allows optimizing assignments between shovel and truck; it records the hauling cycles and the delays that are entered by the equipment operator, this allows any type of analysis of production and operational delays to be carried out. For the present study, a procedure is established to identify the delays with the highest incidence in the operation and later perform the analysis of the information to find and correct the causes of the delays and thus increase the productivity of the haulage fleet. The elaborated procedure will be applied to an open-cast polymetallic mine that works with 29 Caterpillar model 797F trucks and 03 Caterpillar model 7495 electric shovels. In said mine the planned effective use was not reached, due to the large number of hours accumulated in the delays of lack of operator, shift change and bite. After applying improvement plans to reduce the delays with the greatest impact, effective use was increased by 3.81%, 2.60% and 0.72% respectively.
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