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Research Articles

Hybrid mathematical and simulation model for designing a hierarchical network of temporary medical centers in a disaster

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Pages 119-135 | Received 01 Oct 2020, Accepted 03 May 2022, Published online: 30 May 2022

References

  • Ahmadi-Javid, A., Seyedi, P., & Syam, S. S. (2017). A survey of healthcare facility location. Computers & Operations Research, 79, 223–263. https://doi.org/10.1016/j.cor.2016.05.018
  • Ahmadzadeh, F., Mohammadi, N., & Babaie, M. (2019). Evaluation the emergency response program of emergency operations command center of the Alborz university of medical sciences in response to Kermanshah earthquake in November 2017. Health in Emergencies and Disasters, 4(3), 135–146. https://doi.org/10.32598/hdq.4.3.135
  • Akgün, İ., Gümüşbuğa, F., & Tansel, B. (2015). Risk based facility location by using fault tree analysis in disaster management. Omega, 52, 168–179. https://doi.org/10.1016/j.omega.2014.04.003
  • Aydin, N. (2016). A stochastic mathematical model to locate field hospitals under disruption uncertainty for large-scale disaster preparedness. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 6(2), 85–102. https://doi.org/10.11121/ijocta.01.2016.00296
  • Barzinpour, F., & Esmaeili, V. (2014). A multi-objective relief chain location distribution model for urban disaster management. The International Journal of Advanced Manufacturing Technology, 70(5), 1291–1302. https://doi.org/10.1007/s00170-013-5379-x
  • Beamon, B. M., & Kotleba, S. A. (2006). Inventory management support systems for emergency humanitarian relief operations in South Sudan. The International Journal of Logistics Management, 17(2), 187–212. https://doi.org/10.1108/09574090610689952
  • Brito, I. D., Leiras, A., & Yoshizaki, H. T. Y. (2020). A multi-criteria stochastic programming approach for pre-positioning disaster relief supplies in Brazil. Production, 30. ISBN:. https://doi.org/10.1590/0103-6513.20200042
  • Cavdur, F., Kose-Kucuk, M., & Sebatli, A. (2021). Allocation of temporary disaster-response facilities for relief-supplies distribution: A stochastic optimization approach for after disaster uncertainty. Natural Hazards Review, 22(1), 05020013. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000416
  • Cooke, R. (1991). Experts in uncertainty: Opinion and subjective probability in science. Oxford University Press on Demand.
  • Farahani, R. Z., Hekmatfar, M., Fahimnia, B., & Kazemzadeh, N. (2014). Hierarchical facility location problem: Models, classifications, techniques, and applications. Computers & Industrial Engineering, 68, 104–117. https://doi.org/10.1016/j.cie.2013.12.005
  • Farrokhizadeh, E., Seyfi-Shishavan, S. A., & Satoglu, S. I. (2021). Blood supply planning during natural disasters under uncertainty: A novel bi-objective model and an application for red crescent. Annals of Operations Research, 297(1-2), 1–41. https://doi.org/10.1007/s10479-021-03978-5
  • Ghasemi, P., & Khalili-Damghani, K. (2021). A robust simulation-optimization approach for pre-disaster multi-period location–allocation–inventory planning. Mathematics and Computers in Simulation, 179, 69–95. https://doi.org/10.1016/j.matcom.2020.07.022
  • Greiving, S., Fleischhauer, M., & Lückenkötter, J. (2006). A methodology for an integrated risk assessment of spatially relevant hazards. Journal of Environmental Planning and Management, 49(1), 1–19. https://doi.org/10.1080/09640560500372800
  • Haojun, F., Jianqi, S., & Shike, H. (2011). Retrospective, analytical study of field first aid following the Wenchuan Earthquake in China. Prehospital and Disaster Medicine, 26(2), 130. https://doi.org/10.1017/S1049023X11000069
  • Hezam, I. M., & Nayeem, M. K. (2020). A systematic literature review on mathematical models of humanitarian logistics. Symmetry, 13(1), 11.
  • Jia, H., Ordóñez, F., & Dessouky, M. (2007). A modeling framework for facility location of medical services for large-scale emergencies. IIE Transactions, 39(1), 41–55. https://doi.org/10.1080/07408170500539113
  • Kamali, A., Sajjadi, S. M., & JOLAI, F. (2018). The placement of emergency medical bases using hybrid methods of optimization and simulation. Case Study: Isfahan Urban Emergency Medical Bases.
  • Karatas, M., & Yakıcı, E. (2019). An analysis of p-median location problem: Effects of backup service level and demand assignment policy. European Journal of Operational Research, 272(1), 207–218. https://doi.org/10.1016/j.ejor.2018.06.017
  • Khayal, D., Pradhananga, R., Pokharel, S., & Mutlu, F. (2015). A model for planning locations of temporary distribution facilities for emergency response. Socio-Economic Planning Sciences, 52, 22–30. https://doi.org/10.1016/j.seps.2015.09.002
  • Kilcı, F., Kara, B. Y., & Bozkaya, B. (2015). Locating temporary shelter areas after an earthquake: A case for Turkey. European Journal of Operational Research, 243(1), 323–332. https://doi.org/10.1016/j.ejor.2014.11.035
  • Kohn, S., Eaton, J. L., Feroz, S., Bainbridge, A. A., Hoolachan, J., & Barnett, D. J. (2012). Personal disaster preparedness: An integrative review of the literature. Disaster Medicine and Public Health Preparedness, 6(3), 217–231.
  • Kou, G., Ergu, D., & Shi, Y. (2014). An integrated expert system for fast disaster assessment. Computers & Operations Research, 42, February 2014 , 95–107. https://doi.org/10.1016/j.cor.2012.10.003
  • Leiras, A., de Brito, I., Jr, Peres, E. Q., Bertazzo, T. R., & Yoshizaki, H. T. Y. (2014). Literature review of humanitarian logistics research: Trends and challenges. Journal of Humanitarian Logistics and Supply Chain Management, 4(1), 95–130. https://doi.org/10.1108/JHLSCM-04-2012-0008
  • Linstone, H. A., & Turoff, M. (Eds.). (1975). The delphi method (pp. 3–12). Addison-Wesley.
  • Liu, Y., Cui, N., & Zhang, J. (2019). Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service. Transportation Research Part E: Logistics and Transportation Review, 128, August 2019 , 1–16. https://doi.org/10.1016/j.tre.2019.05.008
  • Makui, A., Ashouri, F., & Barzinpour, F. (2019). Assignment of injuries and medical supplies in urban crisis management. Journal of Applied Research on Industrial Engineering, 6(3), 232–250. http://www.journal-aprie.com/article_95862.html
  • Manopiniwes, W., & Irohara, T. (2021). Optimization model for temporary depot problem in flood disaster response. Natural Hazards, 105(2), 1743–1763. https://doi.org/10.1007/s11069-020-04374-1
  • Memari, P., Tavakkoli-Moghaddam, R., Navazi, F., & Jolai, F. (2020). Air and ground ambulance location-allocation-routing problem for designing a temporary emergency management system after a disaster. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of engineering in medicine, 234 (8), 812–828.
  • Mousazadeh, M., Torabi, S. A., Pishvaee, M. S., & Abolhassani, F. (2018). Health service network design: A robust possibilistic approach. International Transactions in Operational Research, 25(1), 337–373. https://doi.org/10.1111/itor.12417
  • Oksuz, M. K., & Satoglu, S. I. (2020). A two-stage stochastic model for location planning of temporary medical centers for disaster response. International Journal of Disaster Risk Reduction, 44, April 2020 , 101426. https://doi.org/10.1016/j.ijdrr.2019.101426
  • Pashapour, S., Azadeh, A., Bozorgi-Amiri, A., Keramati, A., & Ghaderi, S. F. (2020). A resource allocation model to choose the best portfolio of economic resilience plans: A possibilistic stochastic programming model. European Journal of Industrial Engineering, 14(3), 301–334. https://doi.org/10.1504/EJIE.2020.107669
  • Paul, J. A., & MacDonald, L. (2016). Location and capacity allocations decisions to mitigate the impacts of unexpected disasters. European Journal of Operational Research, 251(1), 252–263. https://doi.org/10.1016/j.ejor.2015.10.028
  • Pei, J., Liu, W., & Han, L. (2019). Research on evaluation index system of Chinese city safety resilience based on Delphi method and cloud model. International Journal of Environmental Research and Public Health, 16(20), 3802. https://doi.org/10.3390/ijerph16203802
  • Şahin, G., & Süral, H. (2007). A review of hierarchical facility location models. Computers & Operations Research, 34(8), 2310–2331. https://doi.org/10.1016/j.cor.2005.09.005
  • Sajadi, S. M., Ghasemi, S., & Vahdani, H. (2016). Simulation optimization for nurse scheduling in a hospital emergency department (case study: Shahid Beheshti Hospital). International Journal of Industrial and Systems Engineering, 23(4), 405–419. https://doi.org/10.1504/IJISE.2016.077691
  • Salman, F. S., & Gül, S. (2014). Deployment of field hospitals in mass casualty incidents. Computers & Industrial Engineering, 74, August 2014 , 37–51. https://doi.org/10.1016/j.cie.2014.04.020
  • Sepehri, Z., Arabzad, S. M., & Sajadi, S. M. (2015). Analyzing the performance of emergency department by simulation: The case of Sirjan Hospital. International Journal of Services and Operations Management, 20(3), 289–301. https://doi.org/10.1504/IJSOM.2015.067769
  • Sharma, S. D., & Tatavarthy, S. R. (2019, September). Development of optimized solution for a generic disaster management problem through construction of responsive supply chain a review. In AIP Conference Proceedings (Vol. 2148, No. 1, p. 030049). AIP Publishing LLC.
  • Simões-Marques, M., Teodoro, M. F., Calhamonas, G., & Nunes, I. L. (2019, July). Applying a variation of Delphi method for knowledge elicitation in the context of an intelligent system design. In International Conference on Applied Human Factors and Ergonomics (pp. 386–398). Springer, Cham.
  • Van Wassenhove, L. N. (2006). Humanitarian aid logistics: Supply chain management in high gear. Journal of the Operational Research Society, 57(5), 475–489. https://doi.org/10.1057/palgrave.jors.2602125
  • Wang, L., Shi, H., & Gan, L. (2018). Healthcare facility location-allocation optimization for China’s developing cities utilizing a multi-objective decision support approach. Sustainability, 10(12), 4580. https://doi.org/10.3390/su10124580
  • Ye, F., Zhao, Q., Xi, M., & Dessouky, M. (2015). Chinese national emergency warehouse location research based on VNS algorithm. Electronic Notes in Discrete Mathematics, 47, February 2015 , 61–68. https://doi.org/10.1016/j.endm.2014.11.009

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