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Ambulance Location: A Probabilistic Enumeration Approach

Author

Listed:
  • C. Swoveland

    (University of British Columbia)

  • D. Uyeno

    (University of British Columbia)

  • I. Vertinsky

    (University of British Columbia)

  • R. Vickson

    (University of British Columbia)

Abstract

In this paper a probabilistic branch and bound procedure is developed for the ambulance location problem. Information on system characteristics under various ambulance assignments and dispatch rules was provided by a digital simulation. The output of the simulation was also used to construct the objective function for the optimal location problem. The procedure was used to determine ambulance locations in Vancouver, Canada. Solutions obtained from the branch and bound procedure were verified by simulation runs.

Suggested Citation

  • C. Swoveland & D. Uyeno & I. Vertinsky & R. Vickson, 1973. "Ambulance Location: A Probabilistic Enumeration Approach," Management Science, INFORMS, vol. 20(4-Part-II), pages 686-698, December.
    • Handle: RePEc:inm:ormnsc:v:20:y:1973:i:4-part-ii:p:686-698
    DOI: 10.1287/mnsc.20.4.686
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    Cited by:

    1. Linda V. Green & Peter J. Kolesar, 2004. "ANNIVERSARY ARTICLE: Improving Emergency Responsiveness with Management Science," Management Science, INFORMS, vol. 50(8), pages 1001-1014, August.
    2. Bertsimas, Dimitris & Ng, Yeesian, 2019. "Robust and stochastic formulations for ambulance deployment and dispatch," European Journal of Operational Research, Elsevier, vol. 279(2), pages 557-571.
    3. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    4. Gerald G. Brown & Antonios L. Vassiliou, 1993. "Optimizing disaster relief: Real‐time operational and tactical decision support," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(1), pages 1-23, February.
    5. C. J. Jagtenberg & S. Bhulai & R. D. Mei, 2017. "Dynamic ambulance dispatching: is the closest-idle policy always optimal?," Health Care Management Science, Springer, vol. 20(4), pages 517-531, December.
    6. Gad Allon & Sarang Deo & Wuqin Lin, 2013. "The Impact of Size and Occupancy of Hospital on the Extent of Ambulance Diversion: Theory and Evidence," Operations Research, INFORMS, vol. 61(3), pages 544-562, June.

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