IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v23y1993i1p109-129.html
   My bibliography  Save this article

Improving Fire Department Productivity: Merging Fire and Emergency Medical Units in New Haven

Author

Listed:
  • Arthur J. Swersey

    (Yale School of Management, Box 1A, New Haven, Connecticut 06520)

  • Louis Goldring

    (Soros Fund Management, 888 Seventh Avenue, New York, New York 10106)

  • Earl D. Geyer

    (Department of Fire Service, PO Box 374, New Haven, Connecticut 06502)

Abstract

In September 1991, the New Haven Fire Department implemented an innovative reorganization plan having dual-trained fire medics responding to medical emergencies or fire incidents. The plan was the culmination of a 10-month problem-solving process that required redefining the original problem by shifting attention from closing fire stations to reorganizing the deployment of fire department services. The work made use of both a new spatial queuing model and the existing firehouse siting model, and required timely analysis under constraints of the budgetary process. In a matter of weeks and at times, days, we had to win the approval of the chief administrative officer, the board of finance, and the board of aldermen. The plan increased productivity by both reducing cost and improving public safety. Yearly savings are $1.4 million and amount to nearly 10 percent of the fire suppression budget, while small reductions in fire protection are more than offset by substantial improvements in emergency medical response time.

Suggested Citation

  • Arthur J. Swersey & Louis Goldring & Earl D. Geyer, 1993. "Improving Fire Department Productivity: Merging Fire and Emergency Medical Units in New Haven," Interfaces, INFORMS, vol. 23(1), pages 109-129, February.
  • Handle: RePEc:inm:orinte:v:23:y:1993:i:1:p:109-129
    DOI: 10.1287/inte.23.1.109
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.23.1.109
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.23.1.109?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. Atkinson, J.B. & Kovalenko, I.N. & Kuznetsov, N. & Mykhalevych, K.V., 2008. "A hypercube queueing loss model with customer-dependent service rates," European Journal of Operational Research, Elsevier, vol. 191(1), pages 223-239, November.
    2. Iannoni, Ana P. & Morabito, Reinaldo, 2023. "A review on hypercube queuing model's extensions for practical applications," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).

    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:23:y:1993:i:1:p:109-129. 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.