TY - GEN
T1 - Predictive Maintenance Model based on Dispatch Analysis to Increase Effective Utilization
AU - Alcarraz-Rojas, Pedro
AU - Legoas-Farias, Fabiola
AU - Gallardo, Luis Arauzo
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This research work seeks to implement a predictive maintenance system in transport equipment in a surface mine in order to increase the percentage of effective utilization. The investigation begins with the collection and identification of data in the study area, later the analysis of the data stored in the Dispatch system will be carried out with the Lean Six Sigma methodology, which will allow the identification of the main causes of operational delays. present in the studied process. Once the operational delays that hinder the adequate development in the transport of ore and waste have been identified, the improvement objectives and the predictive maintenance plans for the equipment studied will be set. This research aims to improve the processes that influence the hauling cycle, in addition to the implementation of an adequate predictive maintenance system, it will be possible to improve the operational indexes of the transport equipment, as well as reduce the costs and downtime of the equipment. miners.
AB - This research work seeks to implement a predictive maintenance system in transport equipment in a surface mine in order to increase the percentage of effective utilization. The investigation begins with the collection and identification of data in the study area, later the analysis of the data stored in the Dispatch system will be carried out with the Lean Six Sigma methodology, which will allow the identification of the main causes of operational delays. present in the studied process. Once the operational delays that hinder the adequate development in the transport of ore and waste have been identified, the improvement objectives and the predictive maintenance plans for the equipment studied will be set. This research aims to improve the processes that influence the hauling cycle, in addition to the implementation of an adequate predictive maintenance system, it will be possible to improve the operational indexes of the transport equipment, as well as reduce the costs and downtime of the equipment. miners.
KW - Dispacth
KW - Equipment
KW - Haulage
KW - Lean six sigma
KW - Predictive maintenance
UR - https://www.scopus.com/pages/publications/85122044628
U2 - 10.18687/LACCEI2021.1.1.584
DO - 10.18687/LACCEI2021.1.1.584
M3 - Contribución a la conferencia
AN - SCOPUS:85122044628
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Zapata Rivera, Luis Felipe
A2 - Aranzazu-Suescun, Catalina
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
Y2 - 19 July 2021 through 23 July 2021
ER -