IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4419-7572-0_11.html
   My bibliography  Save this book chapter

Stochastic Analysis in Location Research

In: Foundations of Location Analysis

Author

Listed:
  • Oded Berman

    (University of Toronto)

  • Dmitry Krass

    (University of Toronto)

  • Jiamin Wang

    (Long Island University)

Abstract

Modern Location Theory includes a large and growing field studying the impact of various types of uncertainty in location models. This field of Stochastic Location Models can be traced back to the pioneering work of Frank, whose 1966 paper “Optimum Locations on a Graph with Probabilistic Demands” represents the first formal analysis of stochastic issues in location theory. This paper appeared during the “golden age” of Operations Research when many new applications of probability theory to optimization problems were being developed spawning fundamental contributions in a variety of fields such as inventory theory, queuing theory, and stochastic dynamic programming, among others.

Suggested Citation

  • Oded Berman & Dmitry Krass & Jiamin Wang, 2011. "Stochastic Analysis in Location Research," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Foundations of Location Analysis, chapter 0, pages 241-271, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-7572-0_11
    DOI: 10.1007/978-1-4419-7572-0_11
    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. Martínez-Merino, Luisa I. & Albareda-Sambola, Maria & Rodríguez-Chía, Antonio M., 2017. "The probabilistic p-center problem: Planning service for potential customers," European Journal of Operational Research, Elsevier, vol. 262(2), pages 509-520.
    2. Berman, Oded & Sanajian, Nima & Wang, Jiamin, 2017. "Location choice and risk attitude of a decision maker," Omega, Elsevier, vol. 66(PA), pages 170-181.

    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:isochp:978-1-4419-7572-0_11. 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.