Organisation: BHP – The University of Queensland
Start and Estimated Duration: From 01 – July – 2013 To 31 – December – 2015
Summary: Data collected from payload management systems at some surface mining operations show significant variance. Heavily loaded trucks travel slower up ramps than lightly loaded trucks. Faster trucks are slowed by the presence of slower trucks, resulting in “Bunching” and production losses. This project has been completed to develop an algorithm and software for estimating the effect of truck bunching on productivity, fuel consumption, gas emissions, cycle time and associated cost. In this project a Discrete-Event Simulation Algorithm was developed to predict truck bunching in large open pit mines; a user-friendly software was developed based on the completed algorithm; presented model and software were validated by real site datasets; bunching software can be used to complete the results of other software such as Talpac; and the completed algorithm can be useful to find the effect of bunching on haul truck fuel consumption, gas emissions, cycle time and associated cost.
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