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2020 | OriginalPaper | Chapter

32. Computational Simulation Applied to Evacuation of Wounded, Bodies and Collection of Debris in Disaster Zones

Author : Carlos Alberto González Camargo

Published in: Operations Management for Social Good

Publisher: Springer International Publishing

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Abstract

The objective of this work is to demonstrate how to increase productivity in the evacuation of wounded, bodies and debris collection in the disaster zone using scenarios built in computational software which would increase the possibility of saving more human lives and recovering the areas in less time.

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Afshar, A., Haghani, A.: Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Econ. Plann. Sci. 46(4), 327–338 (2012). https://doi.org/10.1016/j.seps.2011.12.003CrossRef

Bernardini, G., Postacchini, M., Quagliarini, E., D’Orazio, M.: Investigating Exposure in Historical Scenarios: How People Behave in Fires, Earthquakes and Floods, vol. 18, pp. 1138–1151. https://doi.org/10.1007/978-3-319-99441-3_123 (2019)

Bernardini, G., Postacchini, M., Quagliarini, E., D’Orazio, M., Brocchini, M.: Flooding Pedestrians’ Evacuation in Historical Urban Scenario: A Tool for Risk Assessment Including Human Behaviors, vol. 18, pp. 1152–1161. https://doi.org/10.1007/978-3-319-99441-3_124 (2019)

Boonmee, C., Arimura, M., Asada, T.: Facility location optimization model for emergency humanitarian logistics. Int. J. Disaster Risk Reduction https://doi.org/10.1016/j.ijdrr.2017.01.017 (2017)

Brailsford, S., Churilov, L., Dangerfield, B.: Discrete-Event Simulation and System Dynamics for Management Decision Making, 1st edn. Wiley, GB (2014)CrossRef

Cao, Q., He, Z.: Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine. Simulation 89(3), 392–406 (2013). https://doi.org/10.1177/0037549712467457CrossRef

Caunhye, A.M., Nie, X., Pokharel, S.: Optimization models in emergency logistics: a literature review. Socio-Econ. Plann. Sci. 46(1), 4–13 (2012). https://doi.org/10.1016/j.seps.2011.04.004CrossRef

Center for Research on the Epidemiology of Disasters: http://www.cred.be/. Obtenido de http://www.cred.be/ (2017)

Council of Supply Chain Management Professionals: http://cscmp.org. Obtenido de http://cscmp.org (2017)

10.

Hadiguna, R.A., Kamil, I., Delati, A., Reed, R.: Implementing a web-based decision support system for disaster logistics: a case study of an evacuation location assessment for indonesia. Int. J. Disaster Risk Reduction 9, 38–47 (2014)CrossRef

11.

Jones, C., Griffis, L.: Advances in Hurricane Engineering: Learning From Our Past. American Society of Civil Engineers, Reston, VA (2013). https://doi.org/10.1061/9780784412626CrossRef

12.

Liberatore, F., Ortuño, M.T., Tirado, G., Vitoriano, B., Scaparra, M.P.: A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in humanitarian logistics. Comput. Oper. Res. 42, 3–13. https://doi.org/10.1016/j.cor.2012.03.019

13.

Oueida, S., Char, P.A., Kadry, S., Ionescu, S.: Simulation models for enhancing the health care systems. FAIMA Bus. Manag. J. 4(4), 5 (2016)

14.

Shao, M., Song, Y., Teng, C., Zhang, Z.: Algorithms and simulation of multi-level and multi-coverage on cross-reginal emergency facilities. Wireless Pers. Commun. 102(4), 3663–3676 (2018)CrossRef

15.

Suárez, J.D., Osorio, C., Adarme, W.: Agent-based model for material convergence in humanitarian logistics. Revista Facultad De Ingeniería Universidad De Antioquia 81, 24–34 (2016)CrossRef

16.

Thompson, D.: Disaster logistics in small island developing states: Caribbean perspective. Disaster Prev. Manag. 24(2), 166–184 (2015)CrossRef

Title: Computational Simulation Applied to Evacuation of Wounded, Bodies and Collection of Debris in Disaster Zones
Author: Carlos Alberto González Camargo
Publisher: Springer International Publishing
Book: Operations Management for Social Good
Print ISBN: 978-3-030-23815-5

Electronic ISBN: 978-3-030-23816-2

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-23816-2_32