IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v72y2021i9p2004-2017.html
   My bibliography  Save this article

Algorithms for the Calzedonia workload allocation problem

Author

Listed:
  • Maria Battarra
  • Federico Fraboni
  • Oliver Thomasson
  • Güneş Erdoğan
  • Gilbert Laporte
  • Marco Formentini

Abstract

The Workload Allocation Problem consists of assigning a sequence of |S| operations to workers. The order of these operations is fixed. Each operation consists of a batch of B units, hence a total of |J| jobs have to be performed. Each worker is assigned to an ordered subset of consecutive jobs. Workers have different skills, and therefore jobs take a variable time to process, depending on the assigned worker. The study of this problem is rooted in the operations of Calzedonia. In this paper, we briefly introduce the application before presenting algorithms for solving the problem exactly and heuristically. Our computational results compare the performance of a stand-alone mathematical formulation solved by CPLEX, a sequential exact algorithm, and a metaheuristic, with a simple heuristic implemented in the company.

Suggested Citation

  • Maria Battarra & Federico Fraboni & Oliver Thomasson & Güneş Erdoğan & Gilbert Laporte & Marco Formentini, 2021. "Algorithms for the Calzedonia workload allocation problem," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(9), pages 2004-2017, September.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:9:p:2004-2017
    DOI: 10.1080/01605682.2020.1755897
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2020.1755897
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2020.1755897?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.

    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:tjorxx:v:72:y:2021:i:9:p:2004-2017. 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/tjor .

    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.