Bibliographic Details
| Title: |
Optimising an iron ore mining value chain under geological uncertainty. |
| Authors: |
Patton, William1 (AUTHOR) lncs@springer.com, O'Sullivan, Rhonda2 (AUTHOR), Dennett, Scott3 (AUTHOR) |
| Source: |
International Journal of Mining, Reclamation & Environment. Jun2026, Vol. 40 Issue 5, p396-410. 15p. |
| Subject Terms: |
*Ore deposits, *Iron mining, *Strip mining, Value chains, Stochastic programming, Net present value, Iron ores |
| Geographic Terms: |
Western Australia |
| Abstract: |
Iron ore projects are evaluated on the quantity and quality of ores to be extracted, blended and transported to market. Mining value chains include mines, stockpiles, processing facilities and transportation infrastructure. Optimising the entire value chain maximises project value and minimises environmental and social impacts. Considering geological uncertainties can lead to improved schedules through managing supply risk. This study presents a simultaneous stochastic optimisation framework for a real open-pit mining value chain, involving direct shipping goethite-haematite ores from Western Australia's Pilbara region. The proposed approach out performed BHP's in-house optimiser by approximately 11% in net present value. [ABSTRACT FROM AUTHOR] |
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| Database: |
GreenFILE |
