Evaluation of the overall effectiveness (OEE) of autonomous transportation system (AHS) equipment and its impact on mine design. Open pit mine case study
In recent years, the increasing demand for autonomous vehicles in the mining industry has led to a greater focus on integrating these solutions with mine design. As technology advances, mining companies are looking to maximize the benefits of automation in terms of efficiency, productivity, and safe...
- Autores:
-
Pais Cerna, Gabriel Eugenio
Coronado Hernandez, Jairo Rafael
Mojica Herazo, Julio Cesar
Piñeres Castillo, Aurora
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13675
- Acceso en línea:
- https://hdl.handle.net/11323/13675
https://repositorio.cuc.edu.co/
- Palabra clave:
- OEE
AHS
Evaluation
Autonomous
Mine
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
| Summary: | In recent years, the increasing demand for autonomous vehicles in the mining industry has led to a greater focus on integrating these solutions with mine design. As technology advances, mining companies are looking to maximize the benefits of automation in terms of efficiency, productivity, and safety. The adoption of autonomous vehicles in mine design allows for the optimization of planning and operation of mining activities. Autonomous equipment can work continuously, reducing downtime and improving resource utilization. This has a direct impact on the overall equipment effectiveness (OEE), as availability and performance are significantly enhanced. In this research, the overall equipment effectiveness (OEE) of an Autonomous Haulage System (AHS) and its impact on the design of an open-pit mine were evaluated at the engineering level in Chile. Additionally, a representative month of operation (January 2034) was modeled using discrete event simulation technique with current operation and AHS philosophies. The results of this model, which were validated and calibrated based on historical information, meetings with different work groups, and understanding of the engineering level of the study, indicate that the OEE of manual operation is 14.4% lower than that of AHS operation, demonstrating an opportunity for the implementation of this technology. |
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