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dc.contributor.authorSUPARNO, Fanteri
dc.contributor.authorPAITHANKAR, Amol
dc.contributor.authorCHATTERJEE, Snehamoy
dc.date.accessioned2021-03-08T05:28:46Z
dc.date.available2021-03-08T05:28:46Z
dc.date.issued2020-07-08
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/103287
dc.description.abstractOne of the critical jobs in the mine planning and design is to optimize an open pit mine under many uncertain factors. This paper explains the incorporation process of the volatility of commodity price or market uncertainty into production phase design and ultimate pit limit using a maximum flow minimum cut algorithm. The Ornstein-Uhlenbeck (OU) mean-reversion process was used to generate 50-coal price simulations for 10-years ahead. For implementation, data from an Indonesian coal mining site was integrated into the method and resulted in 42% differences compared to a conventional way.en_US
dc.language.isoenen_US
dc.publisherFakultas Tekniken_US
dc.subjectMine planningen_US
dc.subjectCommodity priceen_US
dc.subjectMaximum flow minimum cut algorithmen_US
dc.subjectMean-reversionen_US
dc.subjectNPVen_US
dc.titleDeveloping Risk Assessment of Push-Back Designs for An Indonesian Coal Mine under Price Uncertaintyen_US
dc.typeArticleen_US
dc.identifier.prodiTEKNIK MESIN
dc.identifier.kodeprodi1910101
dc.identifier.nidn0009048803


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