MINERÍA la mejor puerta de acceso al sector minero EDICIÓN 569 / FEBRERO 2025 10 La implementación de las lógicas restrictivas tuvo un impacto significativo en el rendimiento operativo. Se observó un aumento del 1.3% en la eficiencia del acarreo, lo que se tradujo en un incremento en la producción. Además, se logró una reducción del 0.2 gal/h en el consumo de combustible de los camiones CAT 777F/G, lo que generó un ahorro de 0.03 US$/t en costo unitario. Los resultados obtenidos demostraron que la metodología de gestión de flota de acarreo con lógicas restrictivas basada en analítica avanzada de tendencias es altamente efectiva en la optimización de rendimientos productivos y generación de ahorro de combustible. La implementación exitosa de esta metodología requieproper material loading and efficient cycle times. Rules and constraints were established based on predictive models and industry best practices. The implementation of constraint logics had a significant impact on operational performance. A 1.3% increase in hauling efficiency was observed, which translated into increased production. In addition, a 0.2 gal/h reduction in fuel consumption of the CAT 777F/G trucks was achieved, resulting in savings of US$0.03/t in unit cost. The results obtained proved that the haulage fleet management methodology with constraint logics based on advanced trend analytics is highly effective in optimizing production yields and generating fuel savings. Successful implementation of this methodology requires robust data collection and analysis, the development of constraint logics tailored to the specific mining operation, training of personnel and a continuous focus on improving and adjusting operational decisions. Analysis of the data collected also revealed promising trends for future improvements. Patterns in productive yields were identified and an additional 8% increase in hauling efficiency was projected through continued application of the constraint logics. These results demonstrate the potential of haulage fleet management with constraint logics based on advanced trend analytics as an effective strategy to improve productivity and generate fuel savings in the mining industry. In summary, the implementation of the proposed methodology has shown promising results in the optimization of the hauling process. Significant improvement in hauling efficiency and fuel savings have been achieved. It is recommended to continue evaluating and adjusting the constraint logics to achieve higher operating performance and fuel savings in the medium mining operation. re una sólida recopilación y análisis de datos, el desarrollo de lógicas restrictivas adaptadas a la operación minera específica, capacitación del personal y un enfoque continuo en la mejora y el ajuste de las decisiones operativas. El análisis de los datos recopilados también reveló tendencias prometedoras para futuras mejoras. Se identificaron patrones en los renTabla 1. Origen y Destino de Acarreo Origen Destino FASE 08 Botadero (18 min) Pad de lixiviación (22 min) FASE 09 Botadero (28 min) Pad de lixiviación (31 min)
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