TY - GEN
T1 - Modelo para la Planificación del Mantenimiento de Palas Hidráulicas Usando Simulación Monte Carlo
AU - Vilchez-Torres, M.
AU - Oblitas-Cruz, J.
AU - Valcárcel-Bornas, R.
AU - Castillo-Bazán, S.
AU - Pérez-Villena, D.
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The research sought to generate a model using Monte Carlo Simulation, which allows predicting the mean time to repair (MTTR) and lost profits due to machine stoppage, two of the most important indicators for decision making in planning and programming maintenance, in this case to serve a fleet of 4 EX5500 model hydraulic shovels that operate in an open pit mining site, and that are high-cost equipment with a great impact on the extractive process. The model was developed on the Excel computer platform, managing to simulate the random behavior of the maintenance services, which determine the working times in the machine and, consequently, the detention of the equipment, whose penalty is reflected in the loss of profit. The model managed to project maintenance services with 67% success, from 180 iterations with 10 replications, estimating an MTTR of 375 hours per month, with an associated lost profit of 31, 457, 464 USD.
AB - The research sought to generate a model using Monte Carlo Simulation, which allows predicting the mean time to repair (MTTR) and lost profits due to machine stoppage, two of the most important indicators for decision making in planning and programming maintenance, in this case to serve a fleet of 4 EX5500 model hydraulic shovels that operate in an open pit mining site, and that are high-cost equipment with a great impact on the extractive process. The model was developed on the Excel computer platform, managing to simulate the random behavior of the maintenance services, which determine the working times in the machine and, consequently, the detention of the equipment, whose penalty is reflected in the loss of profit. The model managed to project maintenance services with 67% success, from 180 iterations with 10 replications, estimating an MTTR of 375 hours per month, with an associated lost profit of 31, 457, 464 USD.
KW - MTTR
KW - Monte Carlo
KW - business interruption
KW - maintenance
KW - planning
UR - https://www.scopus.com/pages/publications/85139989575
U2 - 10.18687/LACCEI2022.1.1.172
DO - 10.18687/LACCEI2022.1.1.172
M3 - Contribución a la conferencia
AN - SCOPUS:85139989575
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -