Title: Discrete-Event Simulation of Payload Variance Effects on Truck Bunching
Organisation: The University of Queensland
Duration: From 01 – July – 2013 To 31 – December – 2015
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 estimation the effect of truck bunching on productivity, fuel consumption, gas emissions, cycle time and associated cost.
Outcomes and Benefits:
Completed algorithm can be useful to find the effect of bunching on haul truck fuel consumption, gas emissions, cycle time and associated cost.
Bunching software can be used to complete the results of other software.
Presented model and software were validated by real site datasets.
A software was developed based on the completed algorithm.
A Discrete-Event algorithm was developed to predict bunching open‑pit mines.