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Volume 28, No 2, 2021, P. 5-34 UDC 519.854
Keywords: optimization, emergency medical service, simulation model, genetic algorithm, local search. DOI: 10.33048/daio.2021.28.702 Yury A. Kochetov 1 Received November 9, 2020 References[1] M. Reuter-Oppermann, P. L. van den Berg, and J. L. Vile, Logistics for emergency medical service systems, Health Syst. 6, 187–208 (2017).[2] L. Brotcorne, G. Laporte, and F. Semet, Ambulance location and relocation models, Eur. J. Oper. Res. 147, 451–463 (2003). [3] J. Goldberg, Operations research models for the deployment of emergency services vehicle, EMS Manag. J. 1, 20–39 (2004). [4] X. Li, Z. Zhao, X. Zhu, and T. Wyatt, Covering models and optimization techniques for emergency response facility location and planning: A review, Math. Methods Oper. Res. 74 (3), 281–310 (2011). [5] R. Aringhieri, M. E. Bruni, S. Khodaparasti, and J. T. van Essen, Emergency medical services and beyond: Addressing new challenges through a wide literature review, Comput. Oper. Res. 78, 349–368 (2017). [6] V. Bélanger, A. Ruiz, and P. Sorianoa, Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles, Eur. J. Oper. Res. 272, 1–23 (2019). [7] N. Andersson and P. Värbrand, Decision support tools for ambulance dispatch and relocation, J. Oper. Res. Soc. 58 (2), 195–201 (2007). [8] V. Schmid, Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming, Eur. J. Oper. Res. 219 (3), 611–621 (2012). [9] J. A. Fitzsimmons and B. N. Srikar, Emergency ambulance location using the contiguous zone search routine, J. Oper. Manag. 2 (4), 225–237 (1982). [10] M. A. Zaffar, H. K. Rajagopalan, C. Saydam, M. Mayorga, and E. Sharer, Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation-optimization, Oper. Res. Health Care 11, 1–12 (2016). [11] S. G. Henderson and A. J. Mason, Ambulance service planning: simulation and data visualization, Handb. Oper. Res. Health Care Methods Appl. 70, 77–102 (2004). [12] R. McCormack and G. Coates, A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival, Eur. J. Oper. Res. 247, 294–309 (2015). [13] L. Aboueljinane, E. Sahin, and Z. Jemai, A review of simulation models applied to emergency medical service operations, Comput. Ind. Eng. 66, 734–750 (2013). [14] L. Zhen, K. Wang, H. Hu, and D. Chang, A simulation optimization framework for ambulance deployment and relocation problems, Comput. Ind. Eng. 72, 12–23 (2014). [15] R. Garcia and A. Marin, Network equilibrium models with combined modes: Models and solution algorithms, Transp. Res. Part B, 39, 223–254 (2005). [16] N. B. Shamray, The general multimodal network equilibrium problem with elastic balanced demand, in Discrete Optimization and Operations Research, Suppl. (Proc. 9th Int. Conf. DOOR, Vladivostok, Russia, Sept. 19–23, 2016) (RWTH Aachen Univ., Aachen, 2017), pp. 404–414 (CEUR Workshop Proc., Vol. 1623). Available at http://ceur-ws.org/Vol-1623 (accessed Jan. 20, 2021). |
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