Model for Hydraulic Shovel Maintenance Planning Using Monte Carlo Simulation
Read ArticleDate of Conference
July 18-22, 2022
Published In
"Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions"
Location of Conference
Boca Raton
Authors
Vilchez Torres, Mylena Karen
Oblitas Cruz, Jimy Frank
Valcárcel Bornas, Ronmel Leoncio
Castillo Bazán, Sharon Lizeth
Pérez Villena, Dennis Renato
Abstract
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.