A discrete event model to simulate the effect of truck bunching due to payload variance on haul trucks’ fuel consumption

Abstract

For mining, it is essential that haulage systems are designed to be as eff cient as possible, in order to minimise haulage cost, improve prof tability and increase the total mine value. Haulage system ineffciency is typically derived from inadequate engineering, which results in poor haul road design, machinery stand-by and  downtime, and circuit traffic. Haulage costs can be some of the largest in a mining system. In various case studies, it was found that material transportation represents 50 per cent of the operating costs of a surface mine.
The main effective parameters on material transport when a truck and shovel system is used in surface mines are mine planning, road conditions, truck and shovel matching, swell factors, shovel and truck driver’s ability, weather conditions, payload distribution, and payload variance. Among all payload variance is one of the most critical parameters in this field.

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