IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v111y2002i1p167-17910.1023-a1020953703533.html
   My bibliography  Save this article

An Extended Multifacility Minimax Location Problem Revisited

Author

Listed:
  • C. Michelot
  • F. Plastria

Abstract

We consider the following model of Drezner (1991) for the location of several facilities. The weighted sum of distances to all facilities plus a set-up cost is calculated for each separate demand point. The maximal value among these sums is to be minimized. In this note we show that if the weights used in the model decompose into a product of two factors, one depending only on the demand point, the other only on the new facilities, there exists at least one optimal solution such that all new facilities coincide. We also investigate when a unique optimal solution of coincidence type exists, and obtain a full description of the set of optimal solutions when the weights have this multiplicative structure and the norm is round. An example shows that this kind of coincidence does not necessarily happen when the weights may have any value. Copyright Kluwer Academic Publishers 2002

Suggested Citation

  • C. Michelot & F. Plastria, 2002. "An Extended Multifacility Minimax Location Problem Revisited," Annals of Operations Research, Springer, vol. 111(1), pages 167-179, March.
  • Handle: RePEc:spr:annopr:v:111:y:2002:i:1:p:167-179:10.1023/a:1020953703533
    DOI: 10.1023/A:1020953703533
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1020953703533
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1020953703533?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.

    Citations

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


    Cited by:

    1. Fusheng Wang, 2013. "A hybrid algorithm for linearly constrained minimax problems," Annals of Operations Research, Springer, vol. 206(1), pages 501-525, July.
    2. Gert Wanka & Oleg Wilfer, 2017. "Duality results for nonlinear single minimax location problems via multi-composed optimization," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(2), pages 401-439, October.

    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:annopr:v:111:y:2002:i:1:p:167-179:10.1023/a:1020953703533. 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.