IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v24y1990i3p230-243.html
   My bibliography  Save this article

Trajectory Analysis of the Stochastic Queue Median in a Plane with Rectilinear Distances

Author

Listed:
  • Margaret L. Brandeau

    (Department of Industrial Engineering and Engineering Management, Stanford University, Stanford, California 94305)

  • Samuel S. Chiu

    (Engineering-Economic Systems Department, Stanford University, Stanford, California 94305)

Abstract

In this paper we analyze the trajectory of stochastic queue median (SQM) location problem in a planar region with a rectilinear travel metric. The location objective is to minimize expected response time to customers (that is, travel time plus queue delay). We introduce a methodology for parametric analysis of planar location problems which is potentially applicable to other location problems as well. Using the methodology, we demonstrate strong parallels between our planar SQM problem and the same problem on a tree network. We show how the optimal SQM location must occur in a certain region of the plane. Given a mild regularity condition, we develop trajectory results for the optimal location as a function of the customer call rate, and we derive a simple necessary and sufficient ratio condition which characterizes points on the optimal trajectory, and present an algorithm for finding that trajectory. We also analyze the problem in the degenerate case when the regularity condition is violated. Finally, we extend our results to the planar stochastic expected queue median problem, which incorporates stochastic travel times.

Suggested Citation

  • Margaret L. Brandeau & Samuel S. Chiu, 1990. "Trajectory Analysis of the Stochastic Queue Median in a Plane with Rectilinear Distances," Transportation Science, INFORMS, vol. 24(3), pages 230-243, August.
  • Handle: RePEc:inm:ortrsc:v:24:y:1990:i:3:p:230-243
    DOI: 10.1287/trsc.24.3.230
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.24.3.230
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.24.3.230?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. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.

    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:inm:ortrsc:v:24:y:1990:i:3:p:230-243. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.