Mining Study Challenges Assumptions About Haul-Truck Size
News related to:MineTwin by Amalgama · 2 min read
A groundbreaking study by Whittle Consulting and Pronto, first publicised in 2023, has challenged conventional wisdom about the optimal size of haul trucks in mining operations. The research, presented at the 2024 Winter Simulation Conference by Dr Andrey Malykhanov and Jaco-Ben Vosloo, used advanced simulation techniques to model the performance of different truck configurations in a representative copper orebody over an 18-year planning horizon.
The simulation programme, which comprised 924 experiments across varying stages of an open pit, varied the quantities of trucks and excavators to identify fleet combinations capable of meeting production requirements while minimizing delays. This approach allowed the analysis to account for changing operating conditions as the pit developed, rather than assuming a single fleet configuration would remain appropriate throughout the mine's life.
Under the study's assumptions, autonomous 40-ton trucks produced a projected net present value (NPV) approximately 31% higher than the manually operated 100-ton baseline and approximately 7% higher than the autonomous 100-ton alternative. Net present value measures the value of future project cash flows after discounting them to the present.
The comparison also demonstrated that smaller equipment and automation should not be treated as interchangeable improvements. The study reported that autonomous 100-ton trucks increased projected NPV by approximately 23% against the baseline, while manually operated 40-ton trucks reduced it by approximately 9%. The economic outcome depended on the combination of equipment size, operating method, and fleet configuration.
The practical lesson from the study is that fleet alternatives should be tested within the operating system in which they will work. More vehicles do not automatically mean unacceptable congestion; equally, a lower purchase price does not establish a better whole-mine outcome.
The findings have significant implications for the mining industry, particularly as digital twins and simulation technologies continue to evolve. Companies can use these tools to inform strategic planning before making fleet investments, ensuring that their operations are optimized for both efficiency and profitability.
The study provides a documented example of how operational simulation can inform strategic planning before fleet investment. For engineers and other readers, the public material is available for examination, offering insights into the approach and its reported findings.
The research underscores the importance of considering the interplay between different factors in mining operations, challenging the notion that larger trucks are always more advantageous. As the industry continues to embrace automation and digital technologies, such studies will play a crucial role in shaping future strategies and investments.