Abstract
In the present article, the main needs of collection centers and immediate care facilities in case of disasters are analyzed. A model is proposed for the services provided by these collection centers based on queuing theory, including an assessment of the arrival rates and service capacities, waiting times before being treated or receiving no healthcare service. A management algorithm is proposed that allows changes in real time of the system dynamics so it can adjust to queuing models with different features in order to carry out an effective help for system users. This reduces the service time and integral attention of the people affected by a disaster in favor of rapid recovery from a psychological and social point of view.
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Mosquera, D., Rivas, E., Arias, L.A. (2020). Resource Management Strategy in Case of Disaster Based on Queuing Theory. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-42520-3_3
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