IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v119y2023i3d10.1007_s11069-023-06175-8.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06175-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-023-06175-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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).
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Wenjie & Caunhye, Aakil M. & Zhuo, Maolin & Wang, Qingyi, 2024. "Integrated planning of emergency supply pre-positioning and victim evacuation," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    2. Jafarzadeh-Ghoushchi, Saeid & Asghari, Mohammad & Mardani, Abbas & Simic, Vladimir & Tirkolaee, Erfan Babaee, 2023. "Designing an efficient humanitarian supply chain network during an emergency: A scenario-based multi-objective model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    3. Khalili-Fard, Alireza & Hashemi, Mojgan & Bakhshi, Alireza & Yazdani, Maziar & Jolai, Fariborz & Aghsami, Amir, 2024. "Integrated relief pre-positioning and procurement planning considering non-governmental organizations support and perishable relief items in a humanitarian supply chain network," Omega, Elsevier, vol. 127(C).
    4. Prima Denny Sentia & Syaimak Abdul Shukor & Amelia Natasya Abdul Wahab & Muriati Mukhtar, 2023. "Logistic distribution in humanitarian supply chain management: a thematic literature review and future research," Annals of Operations Research, Springer, vol. 323(1), pages 175-201, April.
    5. Yin, Yunqiang & Xu, Xinrui & Wang, Dujuan & Yu, Yugang & Cheng, T.C.E., 2024. "Two-stage recoverable robust optimization for an integrated location–allocation and evacuation planning problem," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    6. İbrahim Miraç Eligüzel & Eren Özceylan & Gerhard-Wilhelm Weber, 2023. "Location-allocation analysis of humanitarian distribution plans: a case of United Nations Humanitarian Response Depots," Annals of Operations Research, Springer, vol. 324(1), pages 825-854, May.
    7. Malihe Niksirat & Mohsen Saffarian & Javad Tayyebi & Adrian Marius Deaconu & Delia Elena Spridon, 2024. "Fuzzy Multi-Objective, Multi-Period Integrated Routing–Scheduling Problem to Distribute Relief to Disaster Areas: A Hybrid Ant Colony Optimization Approach," Mathematics, MDPI, vol. 12(18), pages 1-17, September.
    8. Fei, Liguo & Wang, Yanqing, 2022. "Demand prediction of emergency materials using case-based reasoning extended by the Dempster-Shafer theory," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    9. María Fernanda Carnero Quispe & Lucciana Débora Chambilla Mamani & Hugo Tsugunobu Yoshida Yoshizaki & Irineu de Brito Junior, 2025. "Temporary Facility Location Problem in Humanitarian Logistics: A Systematic Literature Review," Logistics, MDPI, vol. 9(1), pages 1-27, March.
    10. Hu, Yuzhen & Wang, Min & Guo, Xinghai & Lukinykh, Valery F., 2025. "Pre-occurrence location-allocation-configuration of maritime emergency resources considering shipborne unmanned aerial vehicle (UAV)," Omega, Elsevier, vol. 131(C).
    11. Chao Yu & Zhiyuan Zhou & Junbo Gao, 2024. "Rural Network Resilience: A New Tool for Exploring the Mechanisms and Pathways of Rural Sustainable Development," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    12. Shaoqing Geng & Yu Gong & Hanping Hou & Jianliang Yang & Bhakti Stephan Onggo, 2024. "Resource management in disaster relief: a bibliometric and content-analysis-based literature review," Annals of Operations Research, Springer, vol. 343(1), pages 263-292, December.
    13. Dukkanci, Okan & Koberstein, Achim & Kara, Bahar Y., 2023. "Drones for relief logistics under uncertainty after an earthquake," European Journal of Operational Research, Elsevier, vol. 310(1), pages 117-132.
    14. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    15. Alem, Douglas & Caunhye, Aakil M. & Moreno, Alfredo, 2022. "Revisiting Gini for equitable humanitarian logistics," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    16. Dukkanci, Okan & Campbell, James F. & Kara, Bahar Y., 2024. "Facility location decisions for drone delivery: A literature review," European Journal of Operational Research, Elsevier, vol. 316(2), pages 397-418.
    17. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    18. Ramadhan, Fadillah & Irawan, Chandra Ade & Salhi, Said & Cai, Zhao, 2025. "The truck traveling salesman problem with drone and boat for humanitarian relief distribution in flood disaster: Mathematical model and solution methods," European Journal of Operational Research, Elsevier, vol. 322(1), pages 270-291.
    19. Leyla Fazli, 2024. "A novel two-stage stochastic programming model to design an integrated disaster relief supply chain network-a case study," Operations Management Research, Springer, vol. 17(4), pages 1295-1327, December.
    20. Ola Abdel Moneim Emara & Hazem Tawfik Halim & Mohamed Samy El-Deeb & Yasser Tawfik Halim, 2023. "Toward a sustained recovery of the lodging sector: a management path to lessen the Corona Variants upshots," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06175-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.