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Logistics optimization for a coal supply chain

Author

Listed:
  • Gleb Belov

    (Monash University)

  • Natashia L. Boland

    (Georgia Institute of Technology)

  • Martin W. P. Savelsbergh

    (Georgia Institute of Technology)

  • Peter J. Stuckey

    (Monash University)

Abstract

The Hunter Valley coal export supply chain in New South Wales, Australia, is of great importance to the Australian economy. Effectively managing its logistics, however, is challenging, because it is a complex system, covering a large geographic area and comprising a rail network, three coal terminals, and a port, and has many stakeholders, e.g., mining companies, port authorities, coal terminal operators, rail infrastructure providers, and above rail operators. We develop a matheuristic logistics planning system which integrates, amongst other concerns, train scheduling, stockpile management, and vessel scheduling. Different components of the supply chain are modeled at different levels of granularity. An extensive computational study has generated insights into the bottlenecks in the logistics system, which are used to guide changes in operating policies and future investments. The planning system uses a solver-independent modeling technology. This allowed us to observe differences between the performance of constraint programming and mixed-integer programming in the context of a rolling-horizon approach, due to custom search heuristics.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:joheur:v:26:y:2020:i:2:d:10.1007_s10732-019-09435-8
    DOI: 10.1007/s10732-019-09435-8
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    References listed on IDEAS

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    1. Andreas T. Ernst & Ceyda Oğuz & Gaurav Singh & Gita Taherkhani, 2017. "Mathematical models for the berth allocation problem in dry bulk terminals," Journal of Scheduling, Springer, vol. 20(5), pages 459-473, October.
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    Cited by:

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    3. 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).
    4. Agnieszka Saramak & Daniel Saramak, 2022. "Coal Modeling Investigations in International Collaboration in the Light of Bibliometric Analysis of the Problem," Energies, MDPI, vol. 15(16), pages 1-20, August.
    5. Shashank Vaid & Michael Ahearne & Ryan Krause, 2021. "Operations‐Related Structural Flux: Firm Performance Effects of Executives’ Appointments and Exits," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2188-2210, July.
    6. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    7. Katiyar, Rajesh & Panigrahi, Swayam Sampurna & Ghatak, Ranjit Roy & Singh, Ritu, 2024. "Exploring barriers towards effective coal supply-A non-core perspective using ISM-DEMATEL," Resources Policy, Elsevier, vol. 92(C).

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