IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v36y2020i1p138-176.html
   My bibliography  Save this article

A multi-objective model for minimising makespan and total travel time in put wall-based picking systems

Author

Listed:
  • Ehsan Ardjmand
  • Eyad M. Youssef
  • Adam Moyer
  • William A. Young II
  • Gary R. Weckman
  • Heman Shakeri

Abstract

In this study, a multi-objective order batching and picker routing model for minimising the total travel time and makespan in a put wall-based picking system is proposed. A put wall is a hardware composed of containers that is usually used as a sorting station. Put walls usually have limited capacity and can accommodate only a part of received orders at a time. Thus, in put wall-based picking systems, order batching and picker routing should be considered along with the scheduling of the orders on the put wall. To solve the problem, a genetic algorithm (GA), a coevolutionary genetic algorithm (COGA) and an archived multi-objective simulated annealing (AMOSA) are proposed. It is found that GA and COGA offer a more diverse set of solutions to the problem compared to AMOSA.

Suggested Citation

  • Ehsan Ardjmand & Eyad M. Youssef & Adam Moyer & William A. Young II & Gary R. Weckman & Heman Shakeri, 2020. "A multi-objective model for minimising makespan and total travel time in put wall-based picking systems," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(1), pages 138-176.
    • Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:138-176
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=107230
    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:36:y:2020:i:1:p:138-176. 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.