IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v44y2017i1p42-61.html
   My bibliography  Save this article

Improving maritime inventory routing: application to a Brazilian petroleum case

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088839.2016.1216622
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03088839.2016.1216622?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:marpmg:v:44:y:2017:i:1:p:42-61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.