Exploring bounds on ambulance deployment policy performance

Authors:
Eric Cao Ni;Susan R. Hunter;Shane G. Henderson;Huseyin Topaloglu
Affiliations:
Cornell University, Ithaca, NY;Cornell University, Ithaca, NY;Cornell University, Ithaca, NY;Cornell University, Ithaca, NY
Venue:
Proceedings of the Winter Simulation Conference
Year:
2012

Citing 2
Cited 0

A multiperiod set covering location model for dynamic redeployment of ambulances

Computers and Operations Research
Approximate Dynamic Programming for Ambulance Redeployment

INFORMS Journal on Computing

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Abstract

Ambulance deployment involves controlling a fleet of ambulances, often in real time, in an attempt to keep response times small. Simulation has been used to devise redeployment policies, and bounds have been obtained from a combination of comparison methods for queues (coupling) and simulation. These techniques yield varying results on two realistic examples. In an attempt to understand the varying results, we explore the performance of the policies and bounds on artificial models.