A simulated annealing approach to mine production scheduling

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dc.authoridDowd, Peter/0000-0002-6743-5119
dc.authorwosidDowd, Peter/E-2427-2013
dc.contributor.authorKumral, M
dc.contributor.authorDowd, PA
dc.date.accessioned2024-08-04T20:14:53Z
dc.date.available2024-08-04T20:14:53Z
dc.date.issued2005
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIncreasing global competition, quality standards, environmental awareness and decreasing ore prices impose new challenges to mineral industries. Therefore, the extraction of mineral resources requires careful design and scheduling. In this research, simulated annealing ( SA) is recommended to solve a mine production scheduling problem. First of all, in situ mineral characteristics of a deposit are simulated by sequential Gaussian simulation, and averaging the simulated characteristics within specified block volumes creates a three-dimensional block model. This model is used to determine optimal pit limits. A linear programming ( LP) scheme is used to identify all blocks that can be included in the blend without violating the content requirements. The Lerchs-Grosmann algorithm using the blocks identified by the LP program determines optimal pit limits. All blocks that lie outside of the optimal pit limit are removed from the system and the blocks within the optimal pit are submitted to the production scheduling algorithm. Production scheduling optimization is carried out in two stages: Lagrangean parameterization, resulting in an initial sub-optimal solution, and multi-objective SA, improving the sub-optimal schedule further. The approach is demonstrated on a Western Australian iron ore body.en_US
dc.identifier.doi10.1057/palgrave.jors.2601902
dc.identifier.endpage930en_US
dc.identifier.issn0160-5682
dc.identifier.issn1476-9360
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-22744454162en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage922en_US
dc.identifier.urihttps://doi.org/10.1057/palgrave.jors.2601902
dc.identifier.urihttps://hdl.handle.net/11616/94016
dc.identifier.volume56en_US
dc.identifier.wosWOS:000230207700005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of The Operational Research Societyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsimulated annealingen_US
dc.subjectscheduling/sequencingen_US
dc.subjectmine productionen_US
dc.titleA simulated annealing approach to mine production schedulingen_US
dc.typeArticleen_US

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