Please use this identifier to cite or link to this item: https://hdl.handle.net/10646/3832
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dc.contributor.authorDembetembe, Gift G.-
dc.contributor.authorMutambo, Victor-
dc.date.accessioned2019-07-16T12:52:16Z-
dc.date.available2019-07-16T12:52:16Z-
dc.date.issued2018-03-
dc.identifier.citationDembetembe, G. & Mutambo, V. (2018, March). Optimising the extractive capacity of the mining loading and haulage fleet at Nchanga Open Pit Mine, Zambia. Paper presented at the Society of Mining Professors’ 6th Regional Conference 2018. Johannesburg, South Africa.en_US
dc.identifier.urihttp://hdl.handle.net/10646/3832-
dc.descriptionConference paperen_US
dc.description.abstractNchanga Open Pit (NOP), a business unit under Konkola Copper Mines plc (KCM), has been undertaking processing plant improvement projects, namely elevated temperature leaching, heap leaching, and cobalt/copper separation, in order to scale up its operations. These improvements have extended the life of mine (LoM) by 4 years. Consequently, all upstream components of the value chain had to be harmonized with these improvements in order to curb loss of value. This study was undertaken in order to optimize the fleet in terms of size and remaining life. In order to achieve this aim, production planning, fleet optimization, and fleet management were reviewed and analysed based on generic formulae, match factor theory, and queuing theory, while fleet simulation was done using Talpac software. Results of the study indicate that there is need for NOP to invest in machinery by either re-capitalizing the current fleet or resorting to a more cost-effective haulage system.en_US
dc.language.isoen_ZWen_US
dc.subjectimprovement projectsen_US
dc.subjectextended life of mineen_US
dc.subjectmatch factor theoryen_US
dc.subjectTalpac simulationen_US
dc.titleOptimising the extractive capacity of the mining loading and haulage fleet at Nchanga Open Pit Mine, Zambiaen_US
dc.typeOtheren_US
dc.contributor.authoremailgiftdembetembe@gmail.comen_US
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