IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v277y2019i2p727-739.html
   My bibliography  Save this article

Optimizing the pipeline planning system at the national oil company

Author

Listed:
  • Quinteros, Martin
  • Guignard, Monique
  • Weintraub, Andres
  • Llambias, Marc
  • Tapia, Camilo

Abstract

This paper describes the creation, development, implementation and impact of a system optimizing the distribution of petroleum products by pipeline at Empresa Nacional del Petroleo, the state-owned oil company in Chile. Refined oil products are sent via a pipeline from a refinery in the South to terminals located between the refinery and the center of the country. The sequencing of different products needs to be determined. This scheduling used to be done by hand, based on experience and on the need to satisfy physical constraints in the pipeline, supply constraints in and out of the refinery and demand constraints from clients. The complexity of the problem and the need to cut down on operating costs suggested turning to optimization, specifically integer programming. The positive results of the project owe a lot to the constant interaction between schedulers, decision makers, and the optimization team, and to the insights provided by the schedulers that allowed to limit the model’s complexity. The resulting system is easy to use for schedulers thanks to a graphical user interface (GUI), and its solution requires little computer time. It is used once a month for planning the next month operations and negotiating delivery dates and amounts with the clients based on the solution suggested by the model. In addition, in case of an operational disruption in the middle of a month, the model is run again after updating the parameters accordingly. Operating cost savings are of the order of 10%.

Suggested Citation

  • Quinteros, Martin & Guignard, Monique & Weintraub, Andres & Llambias, Marc & Tapia, Camilo, 2019. "Optimizing the pipeline planning system at the national oil company," European Journal of Operational Research, Elsevier, vol. 277(2), pages 727-739.
  • Handle: RePEc:eee:ejores:v:277:y:2019:i:2:p:727-739
    DOI: 10.1016/j.ejor.2019.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719302292
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2019.03.007?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.

    References listed on IDEAS

    as
    1. M. Fernanda Gleizes & Germán Herrero & Diego C. Cafaro & Carlos A. Méndez & Jaime Cerdá, 2012. "Managing Distribution in Refined Products Pipelines Using Discrete-Event Simulation," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 5(1), pages 58-79, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mostafaei, Hossein & Castro, Pedro M. & Oliveira, Fabricio & Harjunkoski, Iiro, 2021. "Efficient formulation for transportation scheduling of single refinery multiproduct pipelines," European Journal of Operational Research, Elsevier, vol. 293(2), pages 731-747.
    2. Wang, Guotao & Zhao, Wei & Qiu, Rui & Liao, Qi & Lin, Zhenjia & Wang, Chang & Zhang, Haoran, 2023. "Operational optimization of large-scale thermal constrained natural gas pipeline networks: A novel iterative decomposition approach," Energy, Elsevier, vol. 282(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:eee:ejores:v:277:y:2019:i:2:p:727-739. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

      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.