Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2023, 7(4); doi: 10.25236/IJNDES.2023.070405.

A study of emergency medical service system based on a two-stage risk-averse model


Yebin Tang

Corresponding Author:
Yebin Tang

Shanghai Maritime University, Logistics Engineering College, Shanghai, 201306, China


An efficient EMS system provides out-of-hospital emergency medical services for sick and injured patients and maximizes the ability to respond quickly to calls, transfer, provide timely treatment and save lives in the event of an emergency. In this paper, an EMS system consisting of multiple EMS stations and demand sites is studied. Rescue supplies such as ambulances are stored at each EMS site to meet the uncertain demand from the demand location. The planning and allocation of emergency medical service sites and site storage ambulance resources under uncertainty of emergency needs is studied.


Emergency Medical Services System, Value at Risk, Two-Stage Stochastic Programming Model

Cite This Paper

Yebin Tang. A study of emergency medical service system based on a two-stage risk-averse model. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 4: 23-29. https://doi.org/10.25236/IJNDES.2023.070405.


[1] Larsen M, Eisenberg M, Cummins RO, Hallstrom AP. (1993) Predicting survival after out-of-hospital cardiac arrest. A graphical model. Ann. emergency medicine 22(11):1652-1658.

[2] Du S F, Xie J G, Liu Zu Y. Medical operations management: emerging research hotspots and their progress [J]. Journal of Management Science, 2013, 16(8):1-19.

[3] Boujemaa, Rania, et al. "A stochastic approach for designing two-tiered emergency medical services systems." Journal of Flexible Services and Manufacturing 30.1 (2018). 123-152.

[4] Liu Kanglin, Qiaofeng Li, and Zhihai Zhang. "Distributed robust optimization of emergency medical service station location and size problems with joint opportunity constraints." Transportation research part B: methodological 119 (2019): 79-101.

[5] Elçi Özgün, and Nilay Noyan. "A two-stage stochastic programming model with opportunity constraints for humanitarian relief network design." Transportation Research Part B: Methodology 108 (2018). 55-83.

[6] Noyan Nilay. "Stochastic Modeling and Optimization for Risk Aversion." Recent Advances in Optimization and Modeling of Contemporary Problems. INFORMS, 2018. 221-254.

[7] Xue Haonan, Wang Jia. Research on two-step optimal site selection method for custom bus carpool stations [J]. Transportation Technology and Economy, 2021, 23(04): 14-19. DOI: 10.19348/j.cnki.issn 1008-5696.2021.04.003.

[8] Yang F, Seed D. Shuang. A two-stage optimization model for dynamic path selection of emergency vehicles [J/OL]. Transportation Systems Engineering and Information: 1-10 [2022-05-16]. http://kns. cnki.net/kcms/detail/11. 45.20. U. 20220425. 1512. 006.html

[9] Fuyu Wang, Kang Zhang. Optimization model and algorithm for dispatching emergency supplies considering road constraints [J]. Complex Systems and Complexity Science, 2022, 19(2): 53-62.

[10] Jiang HW, Guo T, Yang Z, et al. Material emergency scheduling based on discrete whale swarm algorithm [J]. Journal of Electronics and Information, 2022, 44: 1-11.