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Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study

Author

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  • Ahmad Mohamadi

    (Iran University of Science and Technology)

  • Saeed Yaghoubi

    (Iran University of Science and Technology)

  • Mir Saman Pishvaee

    (Iran University of Science and Technology)

Abstract

In humanitarian relief logistics, providing a safe place for evacuees, supplying relief commodities and designing a proper telecommunication infrastructure, for fast communications during disaster, are important issues. Therefore, in this paper, we develop a fuzzy scenario-based optimization model concerning location of shelters, relief distribution centers and telecommunication towers. Towards effective management and reliable servicing, telecommunication towers and shelters are considered to constitute integrated facilities (shelter-TTs). Moreover, to enhance efficiency of emergency services during disaster, backup relief distribution centers, and to approach the model to the real world, failure probabilities in the routes and the relief distribution centers are considered. The problem is formulated in a nonlinear and multi-objective model. Nonlinearity is treated by applying heuristic arguments in conjunction with Lp-metrics method. Finally, the developed model for the case study of flood disaster in an urban district in Iran is implemented. The results demonstrate that the proposed model can help make decisions on both the preparation and response phases in humanitarian relief logistics.

Suggested Citation

  • Ahmad Mohamadi & Saeed Yaghoubi & Mir Saman Pishvaee, 2019. "Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study," Operational Research, Springer, vol. 19(1), pages 59-99, March.
    • Handle: RePEc:spr:operea:v:19:y:2019:i:1:d:10.1007_s12351-016-0285-2
    DOI: 10.1007/s12351-016-0285-2
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    Cited by:

    1. Dönmez, Zehranaz & Kara, Bahar Y. & Karsu, Özlem & Saldanha-da-Gama, Francisco, 2021. "Humanitarian facility location under uncertainty: Critical review and future prospects," Omega, Elsevier, vol. 102(C).
    2. Ghazaleh Ahmadi & Reza Tavakkoli-Moghaddam & Armand Baboli & Mehdi Najafi, 2022. "A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study," Operational Research, Springer, vol. 22(2), pages 1039-1081, April.
    3. Sina Nayeri & Zeinab Sazvar & Jafar Heydari, 2022. "A fuzzy robust planning model in the disaster management response phase under precedence constraints," Operational Research, Springer, vol. 22(4), pages 3571-3605, September.
    4. Ling Shen & Fengming Tao & Yuhe Shi & Ruiru Qin, 2019. "Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    5. Michael E. Fragkos & Vasileios Zeimpekis & Vasilis Koutras & Ioannis Minis, 2022. "Supply planning for shelters and emergency management crews," Operational Research, Springer, vol. 22(1), pages 741-777, March.

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