Modelling open pit shovel-truck systems using the Machine Repair Model.

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dc.citation.epage476en_ZA
dc.citation.issue8en_ZA
dc.citation.spage469en_ZA
dc.contributor.authorKrause, A.
dc.contributor.authorMusingwini, C.
dc.date.accessioned2018-08-24T13:53:55Z
dc.date.available2018-08-24T13:53:55Z
dc.date.issued2007-08
dc.descriptionThis paper reports part of the work of a MSc research study submitted to the University of Witwatersrand, Johannesburg, South Africa.en_ZA
dc.description.abstractShovel-truck systems for loading and hauling material in open pit mines are now routinely analysed using simulation models or off-the-shelf simulation software packages, which can be very expensive for once-off or occasional use. The simulation models invariably produce different estimations of fleet sizes due to their differing estimations of cycle time. No single model or package can accurately estimate the required fleet size because the fleet operating parameters are characteristically random and dynamic. In order to improve confidence in sizing the fleet for a mining project, at least two estimation models should be used. This paper demonstrates that the Machine Repair Model can be modified and used as a model for estimating truck fleet size in an open pit shovel-truck system. The modified Machine Repair Model is first applied to a virtual open pit mine case study. The results compare favourably to output from other estimation models using the same input parameters for the virtual mine. The modified Machine Repair Model is further applied to an existing open pit coal operation, the Kwagga Section of Optimum Colliery as a case study. Again the results confirm those obtained from the virtual mine case study. It is concluded that the Machine Repair Model can be an affordable model compared to off-the-shelf generic software because it is easily modelled in Microsoft Excel, a software platform that most mines already use. This paper reports part of the work of a MSc research study submitted to the University of Witwatersrand, Johannesburg, South Africa.en_ZA
dc.description.librarianMvdH2018en_ZA
dc.funderCoaltech 2020en_ZA
dc.identifier.citationKrause, A. and Musingwini, C. 2007. Modelling open pit shovel-truck systems using the Machine Repair Model. Journal of the Southern African Institute of Mining and Metallurgy 107(8), pp. 469-476.en_ZA
dc.identifier.issn2225-6253
dc.identifier.urihttps://hdl.handle.net/10539/25487
dc.journal.titleJournal of the Southern African Institute of Mining and Metallurgy.en_ZA
dc.journal.volume107en_ZA
dc.language.isoenen_ZA
dc.orcid.id0000-0002-5150-4749en_ZA
dc.publisherThe Southern African Institute of Mining and Metallurgy.en_ZA
dc.rights© 2007. The Southern African Institute of Mining and Metallurgy. This Journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.en_ZA
dc.subjectBunchingen_ZA
dc.subjectCycle timeen_ZA
dc.subjectMatchingen_ZA
dc.subjectOptimum Collieryen_ZA
dc.subjectProbability distributionsen_ZA
dc.subjectQueuingen_ZA
dc.subjectShovel-trucken_ZA
dc.subjectSimulationen_ZA
dc.subjectMachine Repair Modelen_ZA
dc.subjectPit minesen_ZA
dc.subjectOpen pit miningen_ZA
dc.titleModelling open pit shovel-truck systems using the Machine Repair Model.en_ZA
dc.typeArticleen_ZA
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