Model for Hydraulic Shovel Maintenance Planning Using Monte Carlo Simulation

Vilchez-Torres M.; Oblitas-Cruz J.; Valcárcel-Bornas R.; Castillo-Bazán S.; Pérez-Villena D. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2022) · DOI: 10.18687/laccei2022.1.1.172

Resumen

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.

Instituciones: Universidad Privada del Norte