IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v14y1984i6p16-26.html
   My bibliography  Save this article

Stalking the Endangered CAT: A Queueing Analysis of Congestion at Automatic Teller Machines

Author

Listed:
  • Peter Kolesar

    (Graduate School of Business, Uris Hall, Columbia University, New York, New York 10027)

Abstract

A study to determine customer service standards for the automatic teller machines (ATM's) of a large retail bank led to the formulation and calibration of a finite waiting room M / M / c / K queueing model. The model suggested that the percentage of lost customers be adopted as the service standard instead of line wait. The new standard was applied against existing transaction reports to identify those congested ATM facilities that could best profit from additional machines and lobby space. The magnitude of the increased business at the upgraded facilities partly confirmed the model's hypothesis that substantial numbers of customers had indeed been balking.

Suggested Citation

  • Peter Kolesar, 1984. "Stalking the Endangered CAT: A Queueing Analysis of Congestion at Automatic Teller Machines," Interfaces, INFORMS, vol. 14(6), pages 16-26, December.
    • Handle: RePEc:inm:orinte:v:14:y:1984:i:6:p:16-26
    DOI: 10.1287/inte.14.6.16
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.14.6.16
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.14.6.16?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. Tan, Xiaoqian & Knessl, Charles & Yang, Yongzhi (Peter), 2013. "On finite capacity queues with time dependent arrival rates," Stochastic Processes and their Applications, Elsevier, vol. 123(6), pages 2175-2227.
    2. Qian Wang & Rajan Batta & Christopher M. Rump, 2004. "Facility location models for immobile servers with stochastic demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(1), pages 137-152, February.
    3. Reza Aghajani & Kavita Ramanan, 2020. "The Limit of Stationary Distributions of Many-Server Queues in the Halfin–Whitt Regime," Mathematics of Operations Research, INFORMS, vol. 45(3), pages 1016-1055, August.
    4. Oualid Jouini & Zeynep Akşin & Yves Dallery, 2011. "Call Centers with Delay Information: Models and Insights," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 534-548, 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:inm:orinte:v:14:y:1984:i:6:p:16-26. 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.