Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/14478
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dc.contributor.authorSantos, Mauro Sérgio-
dc.contributor.authorPinto, Thomás Vargas Barsante-
dc.contributor.authorLopes Júnior, Ênio-
dc.contributor.authorCota, Luciano Perdigão-
dc.contributor.authorSouza, Marcone Jamilson Freitas-
dc.contributor.authorEuzébio, Thiago Antônio Melo-
dc.date.accessioned2022-02-10T18:23:14Z-
dc.date.available2022-02-10T18:23:14Z-
dc.date.issued2020pt_BR
dc.identifier.citationSANTOS, M. S. et al. Simheuristic-based decision support system for efficiency improvement of an iron ore crusher circuit. Engineering Applications of Artificial Intelligence, v. 94, artigo 103789, 2020. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0952197620301809>. Acesso em: 25 agosto 2021.pt_BR
dc.identifier.issn0952-1976-
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/14478-
dc.description.abstractThe production rate of an ore crushing circuit depends on the amount of equipment in operation. If the amount of active equipment is less than the optimum level, the reduced ore flow paths restrict the production rate. However, if the amount of active equipment is greater than the optimum level, the excess circulating load ore and extra energy consumption reduce the circuit efficiency. In addition, the optimum amount of active equipment can change over time due to changes in the ore characteristics, such as hardness and particle size. In this paper, a decision support system is proposed for optimizing the amount of active equipment for maximum crushing production considering changes in the circuit feed rate. The proposed solution is based on a simheuristic approach in which a simulated plant model is used to evaluate the production rate. Real production scenarios at a Brazilian mining plant are used in computational experiments. The results show that the simheuristic solutions generate a higher production rate and result in less energy consumption. Production is increased by up to 9%, and energy consumption is reduced by up to 59%, demonstrating the efficacy of the proposal.pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectCombinatorial optimizationpt_BR
dc.subjectSimulationpt_BR
dc.titleSimheuristic-based decision support system for efficiency improvement of an iron ore crusher circuit.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.identifier.uri2https://www.sciencedirect.com/science/article/abs/pii/S0952197620301809pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.engappai.2020.103789pt_BR
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