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A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase

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  • Mohamad Ebrahim Sadeghi
  • Morteza Khodabakhsh
  • Mahmood Reza Ganjipoor
  • Hamed Kazemipoor
  • Hamed Nozari

Abstract

Every year, natural disasters such as earthquake, flood, hurricane and etc. impose immense financial and humane losses on governments owing to their unpredictable character and arise of emergency situations and consequently the reduction of the abilities due to serious damages to infrastructures, increases demand for logistic services and supplies. First, in this study the necessity of paying attention to locating procedures in emergency situations is pointed out and an outline for the studied case of disaster relief supply chain was discussed and the problem was validated at small scale. On the other hand, to solve this kind of problems involving three objective functions and complicated time calculation, meta-heuristic methods which yield almost optimum solutions in less time are applied. The EC method and NSGA II algorithm are among the evolutionary multi-objective optimization algorithms applied in this case. In this study the aforementioned algorithm is used for solving problems at large scale.

Suggested Citation

  • Mohamad Ebrahim Sadeghi & Morteza Khodabakhsh & Mahmood Reza Ganjipoor & Hamed Kazemipoor & Hamed Nozari, 2021. "A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase," Papers 2108.05458, arXiv.org.
    • Handle: RePEc:arx:papers:2108.05458
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    References listed on IDEAS

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    1. Yi, Wei & Kumar, Arun, 2007. "Ant colony optimization for disaster relief operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 660-672, November.
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    Cited by:

    1. Mohammad Ebrahim Sadeghi & Hamed Nozari & Hadi Khajezadeh Dezfoli & Mehdi Khajezadeh, 2021. "Ranking of different of investment risk in high-tech projects using TOPSIS method in fuzzy environment based on linguistic variables," Papers 2111.14665, arXiv.org.
    2. Hamed Kazemipoor & Mohammad Ebrahim Sadeghi & Agnieszka Szmelter-Jarosz & Mohadese Aghabozorgi, 2022. "Providing a model for the issue of multi-period ambulance location," Papers 2206.11811, arXiv.org.

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