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dc.contributor.authorMay, Meredith Augustaen_US
dc.date.accessioned2013-02-19T22:38:33Z
dc.date.available2013-02-19T22:38:33Z
dc.date.issued2013-01-29en_US
dc.identifier.othervt_gsexam:298en_US
dc.identifier.urihttp://hdl.handle.net/10919/19218
dc.description.abstractSurface mining is the most common mining method worldwide, and open pit mining accounts for more than 60% of all surface output. Haulage costs account for as much as 60% of the total operating cost for these types of mines, so it is desirable to maintain an efficient haulage system. As the size of the haulage fleet being used increases, shovel productivity increases and truck productivity decreases, so an effective fleet size must be chosen that will effectively utilize all pieces of equipment. One method of fleet selection involves the application of queuing theory to the haul cycle. Queuing theory was developed to model systems that provide service for randomly arising demands and predict the behavior of such systems. A queuing system is one in which customers arrive for service, wait for service if it is not immediately available, and move on to the next server or exit the system once they have been serviced. Most mining haul routes consist of four main components: loading, loaded hauling, dumping, and unloaded hauling to return to the loader. These components can be modeled together as servers in one cyclic queuing network, or independently as individual service channels. Data from a large open pit gold mine are analyzed and applied to a multichannel queuing model representative of the loading process of the haul cycle.  The outputs of the model are compared against the actual truck data to evaluate the validity of the queuing model developed.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectQueuing Theoryen_US
dc.subjectOpen Pit Miningen_US
dc.subjectHaulageen_US
dc.titleApplications of Queuing Theory for Open-Pit Truck/Shovel Haulage Systemsen_US
dc.typeThesisen_US
dc.contributor.departmentMining and Minerals Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineMining Engineeringen_US
dc.contributor.committeechairWestman, Erik Christianen_US
dc.contributor.committeememberLuttrell, Gerald H.en_US
dc.contributor.committeememberLuxbacher, Kramer Davisen_US


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