IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v3y2008i3p315-335.html
   My bibliography  Save this article

Production planning through Flow Network Optimisation and Mixed Integer Linear Programming models in a petroleum refinery

Author

Listed:
  • John Nelson Abraham
  • Kavuri Suryaprakasa Rao

Abstract

In the study on the operations of a lube oil section in a petroleum refinery, the current practices of production planning and prevailing constraints in the six plants of a lube oil section are considered. Based on the data collected from the plants, a Flow Network Optimisation model of the lube oil section and its associated Mixed Integer Linear Programming model have been developed. The experiments, conducted with the help of these models using LINDO software package, indicate optimal flow rates to be maintained through the flow network, and time of operation required for the lube oil plants to meet the demands for the six lube oil products. These results lead to the guidelines for preparing the production plan of the lube oil section.

Suggested Citation

  • John Nelson Abraham & Kavuri Suryaprakasa Rao, 2008. "Production planning through Flow Network Optimisation and Mixed Integer Linear Programming models in a petroleum refinery," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(3), pages 315-335.
    • Handle: RePEc:ids:ijores:v:3:y:2008:i:3:p:315-335
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=17535
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijores:v:3:y:2008:i:3:p:315-335. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    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.