A new risk-based optimisation method for the iron ore production scheduling using stochastic integer programming

Stochastic integer programming (SIP) has recently been studied to manage the risk caused by geological uncertainty when solving mine planning and production scheduling problems of open pit mines. However, similar to other mathematical programming techniques that deploy integer variables, the main ob...

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Veröffentlicht in:	Resources policy Jg. 62; S. 571 - 579
Hauptverfasser:	Mai, Ngoc Luan, Topal, Erkan, Erten, Oktay, Sommerville, Bruce
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2019 Elsevier Science Ltd
Schlagworte:	Aggregate data Algorithms Case studies Computer simulation Datasets Integer programming Integers Iron and steel making Iron compounds Iron ore production scheduling Iron ores Large-scale optimisation Mathematical programming Mineral deposits Mining Mining industry Open pit mining Optimization Ores Present value Production Production scheduling Risk Risk management Stochastic integer programming TopCone algorithm Uncertainty Variables Large-scale optimisation Open pit mining TopCone algorithm Iron ore production scheduling Stochastic integer programming
ISSN:	0301-4207, 1873-7641
Online-Zugang:	Volltext
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