Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study
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 c...
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| Published in: | Operational research Vol. 19; no. 1; pp. 59 - 99 |
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01.03.2019
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| 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. |
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| AbstractList | 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. |
| Author | Yaghoubi, Saeed Mohamadi, Ahmad Pishvaee, Mir Saman |
| Author_xml | – sequence: 1 givenname: Ahmad surname: Mohamadi fullname: Mohamadi, Ahmad email: Mohamadi_a@ind.iust.ac.ir organization: School of Industrial Engineering, Iran University of Science and Technology – sequence: 2 givenname: Saeed surname: Yaghoubi fullname: Yaghoubi, Saeed organization: School of Industrial Engineering, Iran University of Science and Technology – sequence: 3 givenname: Mir Saman surname: Pishvaee fullname: Pishvaee, Mir Saman organization: School of Industrial Engineering, Iran University of Science and Technology |
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| CitedBy_id | crossref_primary_10_1007_s12351_019_00452_w crossref_primary_10_1007_s12351_020_00591_5 crossref_primary_10_1016_j_cie_2022_108821 crossref_primary_10_1109_ACCESS_2021_3125746 crossref_primary_10_1007_s12351_020_00557_7 crossref_primary_10_1007_s10479_025_06747_w crossref_primary_10_1007_s11356_022_18699_w crossref_primary_10_1016_j_ijdrr_2020_101785 crossref_primary_10_1016_j_omega_2021_102393 crossref_primary_10_1016_j_ijdrr_2023_104209 crossref_primary_10_35234_fumbd_1727670 crossref_primary_10_1080_00207543_2023_2217306 crossref_primary_10_1016_j_cie_2022_108451 crossref_primary_10_1109_ACCESS_2019_2943940 |
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| Keywords | Multi-objective optimization Humanitarian relief logistics Shelters Backup relief distribution centers Telecommunication infrastructures Fuzzy stochastic programming |
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| Title | Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study |
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