Enhancing Hauling Efficiency in Mining: A Data-Driven Approach to Productivity Optimization
Résumé
This study explores the optimization of hauling efficiency in mining operations through a data-driven approach. By analyzing real-time performance metrics from a Nickel mine in New Caledonia over three years, the research quantifies the impact of key factors such as cycle time and payload on productivity and production. The findings reveal a weak correlation between productivity and total production, indicating that maximizing productivity alone does not ensure higher production. Instead, the study highlights the importance of optimizing cycle time and operational factors such as fleet availability and shift management for improving overall efficiency and profitability. The research underscores the need for a broader focus beyond productivity metrics to enhance production in mining operations.
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