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Optimising an iron ore mining value chain under geological uncertainty.

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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]
Copyright of International Journal of Mining, Reclamation & Environment is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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Header DbId: 8gh
DbLabel: GreenFILE
An: 193857545
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Optimising an iron ore mining value chain under geological uncertainty.
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  Data: <searchLink fieldCode="AR" term="%22Patton%2C+William%22">Patton, William</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lncs@springer.com</i><br /><searchLink fieldCode="AR" term="%22O'Sullivan%2C+Rhonda%22">O'Sullivan, Rhonda</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dennett%2C+Scott%22">Dennett, Scott</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Mining%2C+Reclamation+%26+Environment%22">International Journal of Mining, Reclamation & Environment</searchLink>. Jun2026, Vol. 40 Issue 5, p396-410. 15p.
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  Data: *<searchLink fieldCode="DE" term="%22Ore+deposits%22">Ore deposits</searchLink><br />*<searchLink fieldCode="DE" term="%22Iron+mining%22">Iron mining</searchLink><br />*<searchLink fieldCode="DE" term="%22Strip+mining%22">Strip mining</searchLink><br /><searchLink fieldCode="DE" term="%22Value+chains%22">Value chains</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Net+present+value%22">Net present value</searchLink><br /><searchLink fieldCode="DE" term="%22Iron+ores%22">Iron ores</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Western+Australia%22">Western Australia</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Mining, Reclamation & Environment is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/17480930.2025.2508823
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 396
    Subjects:
      – SubjectFull: Ore deposits
        Type: general
      – SubjectFull: Iron mining
        Type: general
      – SubjectFull: Strip mining
        Type: general
      – SubjectFull: Value chains
        Type: general
      – SubjectFull: Stochastic programming
        Type: general
      – SubjectFull: Net present value
        Type: general
      – SubjectFull: Iron ores
        Type: general
      – SubjectFull: Western Australia
        Type: general
    Titles:
      – TitleFull: Optimising an iron ore mining value chain under geological uncertainty.
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            NameFull: Patton, William
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            NameFull: O'Sullivan, Rhonda
      – PersonEntity:
          Name:
            NameFull: Dennett, Scott
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 40
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              Value: 5
          Titles:
            – TitleFull: International Journal of Mining, Reclamation & Environment
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