IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v44y2023i1p85-104.html
   My bibliography  Save this article

Assisted discovery of optimal solution for logistics problems using ontology modelling

Author

Listed:
  • Adeel Ahmad
  • Mourad Bouneffa
  • Hayder I. Hendi
  • Cyril Fonlupt

Abstract

The logistics processes conjointly execute various physical and logical tasks. The physical tasks may concern the elements such as goods to be transported, vehicles, and human resources. Whereas, the logical tasks are generally accomplished by software units that can be fully automatic or interactive such as optimisation methods or event management, etc. The logistics problems are often complex np-hard combinatorial optimisation problems. In this paper, we define the shared conceptual vocabulary concerning the logistics problems and inherent optimisation solutions. The result of the work is a knowledge base system, which is formalised and implemented as a set of ontologies. These have been used as key components of a tool that may assist the logistics expert to identify the related optimisation methods to solve the concerned problem and eventually list the available corresponding web-services implementing them.

Suggested Citation

  • Adeel Ahmad & Mourad Bouneffa & Hayder I. Hendi & Cyril Fonlupt, 2023. "Assisted discovery of optimal solution for logistics problems using ontology modelling," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 44(1), pages 85-104.
    • Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:85-104
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=128559
    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:ijlsma:v:44:y:2023:i:1:p:85-104. 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=134 .

    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.