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Maritime inventory routing with transshipment: the case of Yamal LNG

Author

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  • Mingyu Li

    (Norwegian University of Science and Technology)

  • Kjetil Fagerholt

    (Norwegian University of Science and Technology)

  • Peter Schütz

    (Norwegian University of Science and Technology)

Abstract

The LNG-ADP problem is a tactical planning problem for creating an annual delivery program (ADP) for a liquefied natural gas (LNG) producer. An ADP specifies the departure dates of the LNG carriers as well as the delivery dates at the different customers for a period of 12–18 months. The problem can be formulated as maritime inventory routing problem, as it is an important requirement to plan the deliveries such that inventory levels are kept within minimum and maximum limits at the customers as well as the LNG production facility. Inspired by the case of Yamal LNG, we propose a novel discrete-time formulation for the LNG-ADP problem with transshipment and intermediate storage. Our formulation also allows for waiting at the unloading ports. The problem is solved using a rolling horizon heuristic (RHH) for a case based on the Yamal LNG project. We study the impact of different RHH configurations on run time and solution quality. The results show that using a central period that is shorter than the forecast period provides the best objective function, whereas a central period that is longer than the forecast period improves run time. We also explore the effect of allowing waiting at the unloading ports. Waiting does not necessarily improve the objective function value, despite increasing the solution space. However, we observe a reduction in run time for instances where waiting is allowed.

Suggested Citation

  • Mingyu Li & Kjetil Fagerholt & Peter Schütz, 2023. "Maritime inventory routing with transshipment: the case of Yamal LNG," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 269-294, March.
  • Handle: RePEc:spr:flsman:v:35:y:2023:i:1:d:10.1007_s10696-022-09476-5
    DOI: 10.1007/s10696-022-09476-5
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    References listed on IDEAS

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    1. Papageorgiou, Dimitri J. & Nemhauser, George L. & Sokol, Joel & Cheon, Myun-Seok & Keha, Ahmet B., 2014. "MIRPLib – A library of maritime inventory routing problem instances: Survey, core model, and benchmark results," European Journal of Operational Research, Elsevier, vol. 235(2), pages 350-366.
    2. Elin Halvorsen-Weare & Kjetil Fagerholt, 2013. "Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints," Annals of Operations Research, Springer, vol. 203(1), pages 167-186, March.
    3. Dimitri J. Papageorgiou & Ahmet B. Keha & George L. Nemhauser & Joel Sokol, 2014. "Two-Stage Decomposition Algorithms for Single Product Maritime Inventory Routing," INFORMS Journal on Computing, INFORMS, vol. 26(4), pages 825-847, November.
    4. Schach, Michael & Madlener, Reinhard, 2018. "Impacts of an ice-free Northeast Passage on LNG markets and geopolitics," Energy Policy, Elsevier, vol. 122(C), pages 438-448.
    5. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    6. Mingyu Li & Peter Schütz, 2020. "Planning Annual LNG Deliveries with Transshipment," Energies, MDPI, vol. 13(6), pages 1-24, March.
    7. Mutlu, Fatih & Msakni, Mohamed K. & Yildiz, Hakan & Sönmez, Erkut & Pokharel, Shaligram, 2016. "A comprehensive annual delivery program for upstream liquefied natural gas supply chain," European Journal of Operational Research, Elsevier, vol. 250(1), pages 120-130.
    8. AGRA, Agostinho & ANDERSSON, Henrik & CHRISTIANSEN, Marielle & WOLSEY, Laurence A., 2013. "A maritime inventory routing problem: discrete time formulations and valid inequalities," LIDAM Reprints CORE 2584, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Goel, V. & Slusky, M. & van Hoeve, W.-J. & Furman, K.C. & Shao, Y., 2015. "Constraint programming for LNG ship scheduling and inventory management," European Journal of Operational Research, Elsevier, vol. 241(3), pages 662-673.
    10. Dimitri J. Papageorgiou & Myun-Seok Cheon & George Nemhauser & Joel Sokol, 2015. "Approximate Dynamic Programming for a Class of Long-Horizon Maritime Inventory Routing Problems," Transportation Science, INFORMS, vol. 49(4), pages 870-885, November.
    11. Peres, Igor T. & Repolho, Hugo M. & Martinelli, Rafael & Monteiro, Nathália J., 2017. "Optimization in inventory-routing problem with planned transshipment: A case study in the retail industry," International Journal of Production Economics, Elsevier, vol. 193(C), pages 748-756.
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    Cited by:

    1. Kjetil Fagerholt & Leonard Heilig & Eduardo Lalla-Ruiz & Frank Meisel & Shuaian Wang, 2023. "Data-driven optimization and analytics for maritime logistics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 1-4, March.

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