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A hub-location periodic vehicle routing problem in offshore oil and gas logistics

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  • A. M. P. Santos

    (Universidade de Lisboa)

  • C. Guedes Soares

    (Universidade de Lisboa)

Abstract

This paper attempts to identify the optimal location of an intermediate offshore hub, where cargo could be transported from an onshore depot and subsequently distributed among neighboring offshore oil and gas production platforms. Such a hub would offer economies of scale, deriving from bigger offshore supply vessels, thereby decreasing overall logistics costs. Given the difficulty in obtaining an exact solution for the underlying hub-location periodic vehicle routing problem, an efficient genetic search-based procedure is used instead for the solution method. For the first time, both a mathematical formulation and a solution method are proposed, obtaining solutions for problem instances of the size faced in practice. An example application is presented for Santos Basin, in Brazil, where offshore installations are located at more than 100 nautical miles from shore. Additionally, the impact of uncertain demand and weather conditions on the hub-location decision is also investigated through the use of a two-phased optimization-simulation method. While a hub solution has been considered by the offshore oil and gas industry, to contain operating costs, results suggest that a hub solution is unlikely to provide any cost savings, vis à vis servicing the platforms directly from the shore depot.

Suggested Citation

  • A. M. P. Santos & C. Guedes Soares, 2024. "A hub-location periodic vehicle routing problem in offshore oil and gas logistics," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(4), pages 685-709, December.
    • Handle: RePEc:pal:marecl:v:26:y:2024:i:4:d:10.1057_s41278-022-00244-8
    DOI: 10.1057/s41278-022-00244-8
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    References listed on IDEAS

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    1. Hamidreza Eskandari & Ehsan Mahmoodi, 2016. "A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(4), pages 436-457, December.
    2. Thibaut Vidal & Teodor Gabriel Crainic & Michel Gendreau & Nadia Lahrichi & Walter Rei, 2012. "A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems," Operations Research, INFORMS, vol. 60(3), pages 611-624, June.
    3. Harilaos N. Psaraftis, 2019. "Ship routing and scheduling: the cart before the horse conjecture," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 111-124, March.
    4. I Gribkovskaia & G Laporte & A Shlopak, 2008. "A tabu search heuristic for a routing problem arising in servicing of offshore oil and gas platforms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1449-1459, November.
    5. Thomas Borthen & Henrik Loennechen & Xin Wang & Kjetil Fagerholt & Thibaut Vidal, 2018. "A genetic search-based heuristic for a fleet size and periodic routing problem with application to offshore supply planning," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(2), pages 121-150, June.
    6. Patrick Schittekat & Kenneth Sörensen, 2009. "OR Practice---Supporting 3PL Decisions in the Automotive Industry by Generating Diverse Solutions to a Large-Scale Location-Routing Problem," Operations Research, INFORMS, vol. 57(5), pages 1058-1067, October.
    7. Aykin, Turgut, 1995. "The hub location and routing problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 200-219, May.
    8. Wasner, Michael & Zapfel, Gunther, 2004. "An integrated multi-depot hub-location vehicle routing model for network planning of parcel service," International Journal of Production Economics, Elsevier, vol. 90(3), pages 403-419, August.
    9. Halvorsen-Weare, Elin E. & Fagerholt, Kjetil & Nonås, Lars Magne & Asbjørnslett, Bjørn Egil, 2012. "Optimal fleet composition and periodic routing of offshore supply vessels," European Journal of Operational Research, Elsevier, vol. 223(2), pages 508-517.
    10. Santos, A.M.P. & Fagerholt, Kjetil & Laporte, Gilbert & Guedes Soares, C., 2022. "A stochastic optimization approach for the supply vessel planning problem under uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 209-228.
    11. Bjørnar Aas & Øyvind Halskau Sr & Stein W Wallace, 2009. "The role of supply vessels in offshore logistics," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(3), pages 302-325, September.
    12. Fagerholt, Kjetil & Lindstad, Håkon, 2000. "Optimal policies for maintaining a supply service in the Norwegian Sea," Omega, Elsevier, vol. 28(3), pages 269-275, June.
    13. Alumur, Sibel A. & Nickel, Stefan & Saldanha-da-Gama, Francisco, 2012. "Hub location under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 529-543.
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