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The Application of Multifunction Stochastic Service Systems in Allocating Ambulances to an Urban Area

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  • William K. Hall

    (The University of Michigan, Ann Arbor, Michigan)

Abstract

Alternative policies for the allocation and distribution of ambulances are studied for the city of Detroit, Michigan. Data on emergency occurrence and service processes were collected and analyzed, and these data analyses are utilized to model the ambulance system as a multifunction stochastic service system with semi-Markov arrivals and state-dependent server selection. Numerical results are developed predicting the performance of both single function recovery systems and dual function police-ambulance systems under alternative operating policies.

Suggested Citation

  • William K. Hall, 1972. "The Application of Multifunction Stochastic Service Systems in Allocating Ambulances to an Urban Area," Operations Research, INFORMS, vol. 20(3), pages 558-570, June.
    • Handle: RePEc:inm:oropre:v:20:y:1972:i:3:p:558-570
    DOI: 10.1287/opre.20.3.558
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    Cited by:

    1. Phillip R. Jenkins & Matthew J. Robbins & Brian J. Lunday, 2021. "Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies," INFORMS Journal on Computing, INFORMS, vol. 33(1), pages 2-26, January.
    2. Jenkins, Phillip R. & Lunday, Brian J. & Robbins, Matthew J., 2020. "Robust, multi-objective optimization for the military medical evacuation location-allocation problem," Omega, Elsevier, vol. 97(C).
    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.

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