SOLUtion
Plants
Elevate your plant’s performance and reliability
Processing plants are the heart of mining operations and must run at maximum efficiency to sustain competitiveness. We offer solutions that integrate data intelligence, process adjustments, and proactive maintenance to increase metallurgical recovery, reduce waste, and ensure consistent quality standards.
Our Services
Pellet Production Planning
We provide solutions that optimize pellet production planning, ensuring that production schedules align with market demands and operational capabilities. This involves detailed analysis of production capacities, market trends, shipment scheduling, and resource availability to create efficient and effective production plans.
Optimal Set Points for Metallurgical Recovery
Our system determines the optimal setpoints for metallurgical recovery, enhancing process efficiency. By analyzing operational data and recovery rates, we identify the best operating parameters to maximize the extraction of valuable materials.
Cost-Reduction Set Points for Pellets
By analyzing production data, we identify the optimal setpoints that reduce pellet production costs without compromising quality. This includes optimizing energy usage, raw material consumption, and process parameters to achieve cost-efficient production.
Diagnostic Analysis for Quality Deviations
Our diagnostic analysis tools identify and assess product quality deviations, enabling rapid corrective actions. By monitoring production processes in real time, we can detect quality issues early and implement solutions to maintain high standards.
Plant Production Sequence Planning
We develop accurate production sequencing plans that optimize the use of resources and equipment (such as conveyor belts), reducing downtime and improving overall plant efficiency and productivity. This involves scheduling production runs to minimize changeover times and maximize throughput.
Briquette Management
Our solutions manage the production and handling of briquettes, ensuring they meet quality standards and are produced efficiently. This includes optimizing raw material blending, controlling production parameters, and managing storage and transportation—while ensuring data remains properly classified.
PAM (Predictive Asset Maintenance)
We use predictive analytics to monitor plant asset conditions, forecasting potential failures and proactively scheduling maintenance activities. By analyzing sensor data and maintenance records, we can predict equipment issues before they occur, reducing downtime and maintenance costs.
Main Benefits
Enhanced production efficiency
Our solutions optimize plant operations by streamlining production schedules and resource utilization to maximize output and efficiency.
Data-driven decision-making
Our analytics provide valuable insights into plant operations, helping companies make informed decisions and identify areas for continuous improvement.
Improved quality control
Our diagnostic analyses ensure consistently high product quality by detecting deviations early and enabling rapid corrective actions.
Predictive maintenance
With predictive asset maintenance, we help prevent equipment failures and reduce downtime, ensuring smooth and continuous operations.
Reduced costs
By identifying cost-saving opportunities and optimizing production processes, our solutions help reduce operating expenses and improve profitability.
Sustainable practices
By optimizing production processes and resource usage, our solutions contribute to more sustainable plant operations, reducing waste and environmental impact.
Success Story
Our commitment is to deliver solutions that translate into measurable, scalable, and sustainable results. With sector expertise combined with technical knowledge, we transform data and operational complexity into competitive advantage for different players in the mining industry.
With over 20 years of experience and operations across the entire value chain, we deliver customized analytical and corporate solutions that optimize processes, increase efficiency, and strengthen the competitiveness of mining companies in any context.