Benchmarking online dispatch algorithms for Emergency Medical Services
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DOI: 10.1016/j.ejor.2016.08.061
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Cited by:
- Bélanger, V. & Lanzarone, E. & Nicoletta, V. & Ruiz, A. & Soriano, P., 2020. "A recursive simulation-optimization framework for the ambulance location and dispatching problem," European Journal of Operational Research, Elsevier, vol. 286(2), pages 713-725.
- Jing Liu & Ruilin Ouyang & Chun-An Chou & Jacqueline Griffin, 2023. "An Analytical Approach for Dispatch Operations of Emergency Medical Services: A Case Study of COVID-19," SN Operations Research Forum, Springer, vol. 4(2), pages 1-36, June.
- Bélanger, V. & Ruiz, A. & Soriano, P., 2019. "Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles," European Journal of Operational Research, Elsevier, vol. 272(1), pages 1-23.
- Matinrad, Niki & Granberg, Tobias Andersson, 2023. "Optimal pre-dispatch task assignment of volunteers in daily emergency response," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
- Carvalho, A.S. & Captivo, M.E. & Marques, I., 2020. "Integrating the ambulance dispatching and relocation problems to maximize system’s preparedness," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1064-1080.
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Keywords
OR in health services; Ambulances; Emergency medical services; Dispatch; Online optimization;All these keywords.
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