IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaor/5239176.html
   My bibliography  Save this article

Solving Capacitated Facility Location Problem Using Lagrangian Decomposition and Volume Algorithm

Author

Listed:
  • Eiman J. Alenezy

Abstract

In this research, we will focus on one variant of the problem: the capacitated facility location problem (CFLP). In many formulations of the CFLP, it is assumed that each demand point can be supplied by only one open facility, which is the simplest case of the problem. We consider the case where each demand point can be supplied by more than one open facility. We first investigate a Lagrangian relaxation approach. Then, we illustrate in the problem decomposition how to introduce tighter constraints, which solve the CFLP faster while achieving a better quality solution as well. At the same time, we apply the volume algorithm to improve both the lower and the upper bound on the optimum solution of the original problem for the large problem size.

Suggested Citation

  • Eiman J. Alenezy, 2020. "Solving Capacitated Facility Location Problem Using Lagrangian Decomposition and Volume Algorithm," Advances in Operations Research, Hindawi, vol. 2020, pages 1-7, February.
    • Handle: RePEc:hin:jnlaor:5239176
    DOI: 10.1155/2020/5239176
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AOR/2020/5239176.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AOR/2020/5239176.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/5239176?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
    ---><---

    Citations

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


    Cited by:

    1. Vukašin Pajić & Milan Andrejić & Marijana Jolović & Milorad Kilibarda, 2024. "Strategic Warehouse Location Selection in Business Logistics: A Novel Approach Using IMF SWARA–MARCOS—A Case Study of a Serbian Logistics Service Provider," Mathematics, MDPI, vol. 12(5), pages 1-22, March.

    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:hin:jnlaor:5239176. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.