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3321. Rendezvous Strategy for Emergency Logistics
Invited abstract in session MA-10: EMS logistics, stream OR in Health Services (ORAHS).
Monday, 8:30-10:00Room: 11 (building: 116)
Authors (first author is the speaker)
| 1. | Changle Song
|
| The University of Sydney | |
| 2. | David Levinson
|
| Civil Engineering, University of Sydney | |
| 3. | Emily Moylan
|
| School of Civil Engineering, University of Sydney |
Abstract
An essential aspect of Emergency Medical Services (EMS) is the effective allocation of ambulance resources, which can greatly influence patient outcomes. Key to this is the dispatch policy for ambulance deployment and the question of whether specialised ambulances, specifically designed for certain types of incidents, should be assigned to other types of emergencies when available. This research uses queuing models to represent the different dispatching policies and implements simulations to identify the most efficient policy for ambulance resource allocation that would yield optimal patient outcomes when using specialised vehicles. This study proposes a simulation framework and methodology that could be adapted to other geographical regions, thus offering a versatile tool for evaluating the potential benefits of deploying specialised emergency vehicles. The model considers multiple types of emergency vehicles, the distribution of patient demand, and the EMS response process. The experimental results demonstrate that the deployment of advanced specialised ambulance vehicles can enhance the survival rates of emergency incidents, particularly those corresponding to the vehicles' intended function.
Keywords
- Transportation
- Health Care
- Optimization Modeling
Status: accepted
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