Bibliographic citations
Zavala, J., (2022). Análisis de fallas de los componentes críticos de una flota de jumbos perforadores y desarrollo de estrategias de prevención [Tesis, Universidad de Ingeniería y Tecnología]. https://hdl.handle.net/20.500.12815/299
Zavala, J., Análisis de fallas de los componentes críticos de una flota de jumbos perforadores y desarrollo de estrategias de prevención [Tesis]. PE: Universidad de Ingeniería y Tecnología; 2022. https://hdl.handle.net/20.500.12815/299
@misc{renati/231194,
title = "Análisis de fallas de los componentes críticos de una flota de jumbos perforadores y desarrollo de estrategias de prevención",
author = "Zavala Sánchez, Jimmy",
publisher = "Universidad de Ingeniería y Tecnología",
year = "2022"
}
The main objective of this research work was to carry out the analysis of the failures of the critical components of a fleet of drilling jumbos that operate at 4800 meters above sea level in an underground mining company in order to find the causes that cause greater unavailability in the fleet. of the equipment mentioned in order to develop prevention strategies. The analysis and classification of failures were carried out through a series of strategies such as the use of the FMEA, Jack Knife diagram, tree diagram, etc. Likewise, the calculation of the following KPIs MTBF, MTBS and MTTR was carried out in addition to the current one, which was Availability, this to know other parameters of the current state of the performance of the equipment fleet and thus quantify the results after implementing the strategies of maintenance proposed for failures that generate greater unavailability in the equipment. Through the use of the Jack Knife diagram, it was evidenced which were the failures that generated the greatest unavailability in the equipment fleet, these being the failures present in the drilling system to which the tree diagram was applied to each one of them to know the root of its origin and various maintenance strategies were proposed for its elimination. Likewise, the KPIs reflected improvements in each one of them; such as, for example, Availability improved by 2.4% compared to the current state; likewise, the MTTR improved by 1.04 average hours; that is, the repair time due to unscheduled failures was reduced, the MTBF improved by 1.55 hours, which implies that the fleet of equipment on average works longer before presenting a failure, the MTBS improved by 4.01 so that the time between Both scheduled and unscheduled stops increased.
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