IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-319-52654-6_5.html
   My bibliography  Save this book chapter

Leader-Follower Models in Facility Location

In: Spatial Interaction Models

Author

Listed:
  • Tammy Drezner

    (California State University)

  • Zvi Drezner

    (California State University)

Abstract

Facility location models deal, for the most part, with the location of plants, warehouses, distribution centers, retail facilities among others. In this chapter we review the game theoretical concept of the leader-follower in facility location models which addresses specific circumstances: (i) competitive location of two facilities anywhere on the plane; (ii) covering a large area by chain facilities so that a future competitor will not be able to attract much demand; (iii) competitive location of two facilities applying the gravity (Huff) rule; (iv) competitive location of multiple facilities using the cover-based rule; and (v)locating facilities on the nodes of a network to cover as much demand as possible following a removal of a link by a follower.

Suggested Citation

  • Tammy Drezner & Zvi Drezner, 2017. "Leader-Follower Models in Facility Location," Springer Optimization and Its Applications, in: Lina Mallozzi & Egidio D'Amato & Panos M. Pardalos (ed.), Spatial Interaction Models, pages 73-104, Springer.
  • Handle: RePEc:spr:spochp:978-3-319-52654-6_5
    DOI: 10.1007/978-3-319-52654-6_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Lin, Yun Hui & Wang, Yuan & Lee, Loo Hay & Chew, Ek Peng, 2022. "Omnichannel facility location and fulfillment optimization," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 187-209.
    2. Dolores R. Santos-Peñate & Clara M. Campos-Rodríguez & José A. Moreno-Pérez, 2020. "A Kernel Search Matheuristic to Solve The Discrete Leader-Follower Location Problem," Networks and Spatial Economics, Springer, vol. 20(1), pages 73-98, March.
    3. Yun Hui Lin & Qingyun Tian & Yanlu Zhao, 2022. "Locating facilities under competition and market expansion: Formulation, optimization, and implications," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 3021-3042, July.

    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:spr:spochp:978-3-319-52654-6_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.