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dc.contributor.authorAsad, Mohammad Waqar
dc.contributor.authorDimitrakopoulos, R.
dc.contributor.authorvan Eldert, J.
dc.date.accessioned2017-01-30T12:50:10Z
dc.date.available2017-01-30T12:50:10Z
dc.date.created2015-04-20T20:00:50Z
dc.date.issued2014
dc.identifier.citationAsad, M.W. and Dimitrakopoulos, R. and van Eldert, J. 2014. Stochastic production phase design for an open pit mining complex with multiple processing streams. Engineering Optimization. 46 (8): pp. 1139-1152.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/25778
dc.identifier.doi10.1080/0305215X.2013.819094
dc.description.abstract

In a mining complex, the mine is a source of supply of valuable material (ore) to a number of processes that convert the raw ore to a saleable product or a metal concentrate for production of the refined metal. In this context, expected variation in metal content throughout the extent of the orebody defines the inherent uncertainty in the supply of ore, which impacts the subsequent ore and metal production targets. Traditional optimization methods for designing production phases and ultimate pit limit of an open pit mine not only ignore the uncertainty in metal content, but, in addition, commonly assume that the mine delivers ore to a single processing facility. A stochastic network flow approach is proposed that jointly integrates uncertainty in supply of ore and multiple ore destinations into the development of production phase design and ultimate pit limit. An application at a copper mine demonstrates the intricacies of the new approach. The case studyshows a 14% higher discounted cash flow when compared to the traditional approach.

dc.publisherTaylor and Francis Ltd
dc.subjectstochastic optimization
dc.subjectmining engineering applications
dc.subjectmaximum flow algorithm
dc.subjectproduction - planning
dc.titleStochastic production phase design for an open pit mining complex with multiple processing streams
dc.typeJournal Article
dcterms.source.volume46
dcterms.source.number8
dcterms.source.startPage1139
dcterms.source.endPage1152
dcterms.source.issn0305215X
dcterms.source.titleEngineering Optimization
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


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