Evaluation of the overall effectiveness (OEE) of autonomous transportation system (AHS) equipment and its impact on mine design. Open pit mine case study
dc.contributor.author | Pais Cerna, Gabriel Eugenio | |
dc.contributor.author | Coronado Hernandez, Jairo Rafael | |
dc.contributor.author | Mojica Herazo, Julio Cesar | |
dc.contributor.author | Piñeres Castillo, Aurora | |
dc.date.accessioned | 2024-07-17T22:10:23Z | |
dc.date.available | 2024-07-17T22:10:23Z | |
dc.date.issued | 2023 | |
dc.description | Indexación: Scopus | |
dc.description.abstract | 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. © 2023 Elsevier B.V.. All rights reserved. | |
dc.description.uri | https://www.sciencedirect.com/science/article/pii/S1877050923011134 | |
dc.identifier.citation | Procedia Computer Science. Volume 224, Pages 468 - 473. 2023. 18th International Conference on Future Networks and Communications, FNC 2023 / 20th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2023 / 13th International Conference on Sustainable Energy Information Technology, SEIT 2023. Halifax. 14 August 2023through 16 August 2023. Code 194575 | |
dc.identifier.doi | 10.1016/j.procs.2023.09.066 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | https://repositorio.unab.cl/handle/ria/58582 | |
dc.language.iso | en | |
dc.publisher | Elsevier B.V. | |
dc.rights.license | CC BY-NC-ND 4.0 ATTRIBUTION-NONCOMMERCIAL-NODERIVATIVES 4.0 INTERNATIONAL Deed | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | AHS | |
dc.subject | Autonomous | |
dc.subject | Evaluation | |
dc.subject | Mine | |
dc.subject | OEE | |
dc.title | Evaluation of the overall effectiveness (OEE) of autonomous transportation system (AHS) equipment and its impact on mine design. Open pit mine case study | |
dc.type | Artículo |
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