Bibliographic citations
Huamaní, A., (2021). Optimización de planes de mantenimiento bajo metodología PMO para incrementar la disponibilidad y confiabilidad de la flota de palas 7495 de operación Toromocho [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/21794
Huamaní, A., Optimización de planes de mantenimiento bajo metodología PMO para incrementar la disponibilidad y confiabilidad de la flota de palas 7495 de operación Toromocho [Tesis]. PE: Universidad Nacional de Ingeniería; 2021. http://hdl.handle.net/20.500.14076/21794
@misc{renati/1750299,
title = "Optimización de planes de mantenimiento bajo metodología PMO para incrementar la disponibilidad y confiabilidad de la flota de palas 7495 de operación Toromocho",
author = "Huamaní Zorrilla, Alejandro Samuel",
publisher = "Universidad Nacional de Ingeniería",
year = "2021"
}
In metal mining organizations, the maintenance area represents a high percentage of operating costs (31%), consequently, any optimization in the management of heavy equipment fleet maintenance is an optimization of the use of resources for the organization. The objective of this thesis: "Optimization of maintenance plans under the PMO methodology to increase the availability and reliability of the fleet of 7495 shovels of Operation Toromocho", is to develop maintenance plans based on the Maintenance Plan Optimization (PMO) methodology that allows to increase the availability and reliability of the 7495 shovel fleet. This thesis addresses the context that occurred in the fleet of 7495 shovels which are operating in the Toromocho operation. This site is located at 4,500 m a.s.l. Morococha district, Yauli province, Junín. The operating context of the Toromocho operation is complex for the loading equipment, shovels 7495, for which there are problems with the reliability of the 7495 shovels, directly affecting copper production. In this thesis, the maintenance plans were modified and loaded into the maintenance management system "SAP". The activities of the new maintenance plan were programmed and executed and the result was increased reliability. The Average Time Between Failures in 2018 was 20,09 h and increased in 2019 to 21,75 h, which reduced the corrective stops of the blades due to failure, there was a longer operating time in terms of use, greater tonnage moved, higher processed ore and higher production of fine copper.
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