IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v24y1994i1p6-28.html
   My bibliography  Save this article

AT&T's Call Processing Simulator (CAPS) Operational Design for Inbound Call Centers

Author

Listed:
  • Anthony J. Brigandi

    (AT&T, Business Operations Analysis, 295 North Maple Avenue, Basking Ridge, New Jersey 07920)

  • Dennis R. Dargon

    (AT&T, Global Network Design, 1100 Walnut Street, Kansas City, Missouri 64106)

  • Michael J. Sheehan

    (AT&T, Global Network Design, 1111 West 22nd Street, Oak Brook, Illinois 60126)

  • Thomas Spencer

    (AT&T, Business Operations Analysis, 295 North Maple Avenue, Basking Ridge, New Jersey 07920)

Abstract

Since 1978, AT&T has been developing the call processing simulator (CAPS) to design and evaluate inbound call centers. The current version of CAPS is a user-friendly PC-based system employing a discrete event simulation model with animation and queuing models of both the telecommunications network and AT&T's business customer's call center environment. Using CAPS, AT&T can model a network of call centers utilizing advanced 800 network features before its customers make capital investments to start or change their call centers. In 1992, AT&T completed about 2,000 CAPS studies for its business customers, helping it increase, protect, and regain more than one billion dollars in an eight billion dollar 800-network market. While this is impressive alone, the CAPS tool is also the turnkey for more than $750 million in annual profit for AT&T's business customers who received CAPS studies.

Suggested Citation

  • Anthony J. Brigandi & Dennis R. Dargon & Michael J. Sheehan & Thomas Spencer, 1994. "AT&T's Call Processing Simulator (CAPS) Operational Design for Inbound Call Centers," Interfaces, INFORMS, vol. 24(1), pages 6-28, February.
  • Handle: RePEc:inm:orinte:v:24:y:1994:i:1:p:6-28
    DOI: 10.1287/inte.24.1.6
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.24.1.6
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.24.1.6?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. Peter C. Bell & Chris K. Anderson, 2002. "In Search of Strategic Operations Research/Management Science," Interfaces, INFORMS, vol. 32(2), pages 28-40, April.
    2. Robert M. Saltzman & Vijay Mehrotra, 2001. "A Call Center Uses Simulation to Drive Strategic Change," Interfaces, INFORMS, vol. 31(3), pages 87-101, June.
    3. Tolga Çezik & Oktay Günlük & Hanan Luss, 2001. "An integer programming model for the weekly tour scheduling problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(7), pages 607-624, 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:24:y:1994:i:1:p:6-28. 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.