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Improving maritime inventory routing: application to a Brazilian petroleum case

Author

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  • Gustavo Souto dos Santos Diz
  • Fabrício Oliveira
  • Silvio Hamacher

Abstract

The crude oil offloading and supply problem (COSP) is a type of operation maritime inventory routing (MIR) problem encountered by petroleum companies. In COSP, the company not only is responsible for the ship scheduling to carry the crude oil from production sites to discharge ports but also must maintain inventory levels at both ports (production and consumption) between safety operational bounds to avoid disruptions in its crude oil production and/or refining processes. We show how to improve significantly the decision-making process in a Brazilian petroleum company using a mixed-integer linear programming (MILP) model to represent COSP. Comparison tests with a current ship-scheduling method adopted in the company indicated that the use of the MILP model increased the transportation efficiency and reduced costs by 20% on average. In addition to the quantitative gains, the use of a MILP model to solve COSP has succeeded when encountering real-life events, such as variation in production or consumption rates, berth unavailability, and changes in the storage capacities at ports.

Suggested Citation

  • Gustavo Souto dos Santos Diz & Fabrício Oliveira & Silvio Hamacher, 2017. "Improving maritime inventory routing: application to a Brazilian petroleum case," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(1), pages 42-61, January.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:1:p:42-61
    DOI: 10.1080/03088839.2016.1216622
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    Cited by:

    1. Nooshin Heidari & Ahmad Hemmati, 2023. "An ALNS-based matheuristic algorithm for a multi-product many-to-many maritime inventory routing problem," Computational Management Science, Springer, vol. 20(1), pages 1-23, December.
    2. Fokkema, Jan Eise & Land, Martin J. & Coelho, Leandro C. & Wortmann, Hans & Huitema, George B., 2020. "A continuous-time supply-driven inventory-constrained routing problem," Omega, Elsevier, vol. 92(C).
    3. Gustavo Souto dos Santos Diz & Silvio Hamacher & Fabricio Oliveira, 2019. "A robust optimization model for the maritime inventory routing problem," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 675-701, September.

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