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Simultaneous production scheduling and transportation optimization from mines to port under uncertain material supply

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  • LaRoche-Boisvert, Mélanie
  • Dimitrakopoulos, Roussos
  • Ferland, Jacques A.

Abstract

Industrial mining complexes can be optimized using simultaneous stochastic optimization (SSO), which manages the risks associated with meeting production targets while capitalizing on the synergies that exist between the various components of the related mineral value chain. This paper introduces an extension of past SSO approaches for the long-term, allowing to simultaneously optimize the schedule of the production and the mines-to-port transportation of mining complexes under uncertain material supply. The inclusion of mine-to-port transportation scheduling facilitates the analysis of the mines-to-port equipment usage, while generating suitable mine production schedules. The proposed stochastic mathematical program formulation is applied to a two-mine, single-port iron ore mining complex. In doing so, it is shown that the related model is capable of producing optimal production schedules, minimizing deviations from products requirements, and delineating the yearly use of the mine-to-port transportation equipment.

Suggested Citation

  • LaRoche-Boisvert, Mélanie & Dimitrakopoulos, Roussos & Ferland, Jacques A., 2021. "Simultaneous production scheduling and transportation optimization from mines to port under uncertain material supply," Resources Policy, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001641
    DOI: 10.1016/j.resourpol.2021.102150
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    References listed on IDEAS

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    1. Gleb Belov & Natashia L. Boland & Martin W. P. Savelsbergh & Peter J. Stuckey, 2020. "Logistics optimization for a coal supply chain," Journal of Heuristics, Springer, vol. 26(2), pages 269-300, April.
    2. Del Castillo, M. Fernanda & Dimitrakopoulos, Roussos, 2019. "Dynamically optimizing the strategic plan of mining complexes under supply uncertainty," Resources Policy, Elsevier, vol. 60(C), pages 83-93.
    3. Montiel, Luis & Dimitrakopoulos, Roussos, 2015. "Optimizing mining complexes with multiple processing and transportation alternatives: An uncertainty-based approach," European Journal of Operational Research, Elsevier, vol. 247(1), pages 166-178.
    4. Gaurav Singh & Rodolfo García-Flores & Andreas Ernst & Palitha Welgama & Meimei Zhang & Kerry Munday, 2014. "Medium-Term Rail Scheduling for an Iron Ore Mining Company," Interfaces, INFORMS, vol. 44(2), pages 222-240, April.
    5. Everett, J. E., 2001. "Iron ore production scheduling to improve product quality," European Journal of Operational Research, Elsevier, vol. 129(2), pages 355-361, March.
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    Cited by:

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    2. Huang, Xiaohui & Huang, Qi & Cao, Huajun & Yan, Wanbin & Cao, Le & Zhang, Qiongzhi, 2023. "Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application," Energy, Elsevier, vol. 263(PA).

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