Application of computer modeling software for mining vehicle fleet telemetry monitoring

doi:10.46544/ams.v26i4.01

Abstract

Highlights

Mining is a capital-intensive sector that necessitates the purchase of big equipment worth hundreds of millions of dollars
We propose an approach for mining vehicle fleet monitoring using Simulation of Urban MObility (SUMO) (Krajzewicz et al, 2002) vehicle traffic modeling software applied to the mining industry
Because it is time-consuming to set up a realistic traffic simulation scenario, which has been done more in-depth by (Bieker et al, 2015) and others, we will take some liberties since our aim is to present a proof-of-concept for a way to use computer modeling in mining vehicle fleet monitoring without relation to a real mining site

Summary

Introduction

Mining is a capital-intensive sector that necessitates the purchase of big equipment worth hundreds of millions of dollars. Mine trucks are the most commonly utilized pieces of equipment for material hauling in surface mining operations. Their maintenance costs account for a major amount of the total operating cost – usually more than 50% of the operational cost (Subtil et al, 2011). Maintenance costs cannot be reduced because currently existing costing methods and models do not account for all critical restrictions. On the other hand, are expensive pieces of machinery that require routine maintenance in order to operate safely and efficiently. (Topal et al, 2010) estimates that the cost of these maintenance services can account for 30–50% of the overall haulage cost of a surface mining operation. It is critical to optimize the mine truck fleet's schedule so that the fleet's utilization is maximized while maintenance costs are kept to a minimum

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