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Location and replenishment problems of disaster stations for humanitarian relief logistics along with an application

Author

Listed:
  • Elif Yoruk

    (Dokuz Eylül University)

  • Adil Baykasoglu

    (Dokuz Eylül University)

  • Mualla Gonca Avci

    (Dokuz Eylül University)

Abstract

One of the new pre-disaster activities in Türkiye is to locate the neighborhood disaster stations (i.e., containers) that contain emergency relief items like tents, medicines and canned goods so that people can take the relief items inside them. After a disaster, people should reach to these items easily and quickly. Therefore, locating the disaster stations in the right locations is important. Moreover, emergency relief items inside the disaster stations have an expiration date. Therefore, they need to be replenished periodically to be usable after a disaster. To the best of our knowledge, there is no study in the literature that considers the location problem of disaster stations and the replenishment problem of perishable relief items that are inside the disaster stations simultaneously. Therefore, in this study, the location and replenishment problems of the neighborhood disaster stations are studied. A MILP model is developed for solving the stated problem. The primary goal is to decide the locations of the disaster stations, which will minimize the maximum distance between a post-disaster assembly area and the nearest disaster station. The second objective is to create routes that will minimize the total transportation cost in the replenishment process of the items. Optimal solution is obtained by using the proposed model for solving a small instance in IBM ILOG CPLEX 12.9 and the model is verified. Moreover, a case study is performed by using the real data of Buca/Izmir, and computational studies are done for evaluating the performance of the model.

Suggested Citation

  • Elif Yoruk & Adil Baykasoglu & Mualla Gonca Avci, 2023. "Location and replenishment problems of disaster stations for humanitarian relief logistics along with an application," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(3), pages 1713-1734, December.
    • Handle: RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06175-8
    DOI: 10.1007/s11069-023-06175-8
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    References listed on IDEAS

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    1. Wapee Manopiniwes & Takashi Irohara, 2021. "Optimization model for temporary depot problem in flood disaster response," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1743-1763, January.
    2. Xianjun Guan & Fei Bi & Min Liu & Huayou Chen & Ligang Zhou, 2018. "Study on location allocation of earthquake emergency service depot based on hybrid multi-attribute decision making," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 337-348, January.
    3. Sheikholeslami, Mahnaz & Zarrinpoor, Naeme, 2023. "Designing an integrated humanitarian logistics network for the preparedness and response phases under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    4. Stienen, V.F. & Wagenaar, J.C. & den Hertog, D. & Fleuren, H.A., 2021. "Optimal depot locations for humanitarian logistics service providers using robust optimization," Omega, Elsevier, vol. 104(C).
    5. Mahmoud Golabi & Seyed Mahdi Shavarani & Gokhan Izbirak, 2017. "An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1545-1565, July.
    6. Jagat K. Shrestha & Pramesh Pudasaini & Lorenzo Mussone, 2021. "Rural road network performance and pre-disaster planning: an assessment methodology considering redundancy," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(7), pages 726-743, October.
    7. M. Bagheri & A. Ebrahimnejad & S. Razavyan & F. Hosseinzadeh Lotfi & N. Malekmohammadi, 2022. "Fuzzy arithmetic DEA approach for fuzzy multi-objective transportation problem," Operational Research, Springer, vol. 22(2), pages 1479-1509, April.
    8. Abazari, Seyed Reza & Aghsami, Amir & Rabbani, Masoud, 2021. "Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
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