An Integer Programming Model for the Dynamic Location and Relocation of Emergency Vehicles: A Case Study
This addresses the challenge of optimizing emergency vehicle deployment for better response times and coverage in public health systems, but it is incremental as it applies an existing integer programming method to a specific case study.
The paper tackles the problem of dynamically locating and relocating ambulances in Emergency Medical Service systems to improve coverage of demand points under fluctuating patterns, using real-world data from the French EMS system for numerical experiments.
In this paper, we address the dynamic Emergency Medical Service (EMS) systems. A dynamic location model is presented that tries to locate and relocate the ambulances. The proposed model controls the movements and locations of ambulances in order to provide a better coverage of the demand points under different fluctuation patterns that may happen during a given period of time. Some numerical experiments have been carried out by using some real-world data sets that have been collected through the French EMS system.