Ambulance redeployment: An approximate dynamic programming approach

Matthew S. Maxwell · Shane G. Henderson · Hüseyin Topaloğlu

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Abstract

Emergency medical service (EMS) providers are charged with the task of managing ambulances so that the time required to respond to emergency calls is minimized. One approach that may assist in reducing response times is ambulance redeployment, i.e., repositioning idle ambulances in real time. We formulate a simulation model of EMS operations to evaluate the performance of a given allocation policy and use this model in an approximate dynamic programming (ADP) context to compute high-quality redeployment policies. We find that the resulting ADP policies perform much better than sub-optimal static policies and marginally better than near-optimal static policies. Representative computational results for Edmonton, Alberta are included.

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References

2003Ambulance location and relocation models 2001A dynamic model and parallel tabu search heuristic for real-time ambulance relocation 2002An Object-Oriented Random-Number Package with Many Long Streams and Substreams 2006A multiperiod set covering location model for dynamic redeployment of ambulances 2007Ambulance location for maximum survival 2006Decision support tools for ambulance dispatch and relocation 2005The maximal expected coverage relocation problem for emergency vehicles 1974An Algorithm for the Dynamic Relocation of Fire Companies

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2010Emergency medical systems analysis by simulation and optimization 2017A stochastic approach for designing two-tiered emergency medical service systems 2015Location Problems in Healthcare 2021A simulation and optimisation package for emergency medical services 2011Operations Research Tools for Addressing Current Challenges in Emergency Medical Services 2020

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