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Location-allocation analysis of humanitarian distribution plans: a case of United Nations Humanitarian Response Depots

Author

Listed:
  • İbrahim Miraç Eligüzel

    (Gaziantep University)

  • Eren Özceylan

    (Gaziantep University)

  • Gerhard-Wilhelm Weber

    (Poznan University of Technology)

Abstract

The United Nations Humanitarian Response Depot (UNHRD) coordinated 515 different shipments (2,420,258 km in total) from six UNHRD depots to 88 different countries to provide a 27,343 m3 volume of products in 2018. The main purpose of the proposed study is to investigate the current distribution plan and identify the potential improvements using operations research techniques. Maximization of the number of covered people, minimization of the traveled distance, and also analyzing the necessity of the response depots are the problems that need to be addressed for UNHRD. Several methods are applied to the UNHRD network for the first time in the literature, and it is aimed to provide a practical solution considering reductions in total distance, time, and cost. To achieve this, three different location-allocation models are devised and deployed on the real UNHRD distribution network, including maximum coverage, P-median, and set covering. As a result of utilizing the P-median model, the total traveled distance is reduced by 58%, and the most significant depots are identified as Accra and Dubai under various distance limitations using the maximum coverage and set covering models. When it comes to the application and managerial implications of the proposed study, the biggest part of demand was supplied by the Dubai depot before the P-median application, and the Accra depot now has the biggest part. Therefore, it is required to increase the volume of the Accra depot. In addition, Accra Depot is preferred 28 times according to the maximum covered model application, with 6 different coverage limits. From this point of view, it is necessary to have efficient and effective planning for the Accra depot in particular. With the set covering method, it is demonstrated the minimum and maximum ranges to serve demand points with the number of the opened depot(s). The most important contribution of the paper to the literature is to address and improve a real humanitarian aid logistics problem using well-known location-allocation models. The study provides a better understanding of the system to have advanced managerial insight by considering the UNHRD logistic network.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-022-04886-y
    DOI: 10.1007/s10479-022-04886-y
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    as
    1. Goerlandt, Floris & Islam, Samsul, 2021. "A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    2. Renata Turkeš & Kenneth Sörensen & Daniel Palhazi Cuervo, 2021. "A matheuristic for the stochastic facility location problem," Journal of Heuristics, Springer, vol. 27(4), pages 649-694, August.
    3. Shaoqing Geng & Hanping Hou & Shaoguang Zhang, 2020. "Multi-Criteria Location Model of Emergency Shelters in Humanitarian Logistics," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    4. Mladenovic, Nenad & Brimberg, Jack & Hansen, Pierre & Moreno-Perez, Jose A., 2007. "The p-median problem: A survey of metaheuristic approaches," European Journal of Operational Research, Elsevier, vol. 179(3), pages 927-939, June.
    5. Liu, Yang & Cui, Na & Zhang, Jianghua, 2019. "Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 1-16.
    6. Beasley, J. E., 1987. "An algorithm for set covering problem," European Journal of Operational Research, Elsevier, vol. 31(1), pages 85-93, July.
    7. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Frade, Ines & Ribeiro, Anabela, 2015. "Bike-sharing stations: A maximal covering location approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 216-227.
    9. Gatignon, Aline & Van Wassenhove, Luk N. & Charles, Aurélie, 2010. "The Yogyakarta earthquake: Humanitarian relief through IFRC's decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 126(1), pages 102-110, July.
    10. Bell, Michael G.H. & Fonzone, Achille & Polyzoni, Chrisanthi, 2014. "Depot location in degradable transport networks," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 148-161.
    11. 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).
    12. 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.
    13. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    14. repec:eme:mrn000:01409170910998273 is not listed on IDEAS
    15. Moddassir Khan Nayeem & Gyu M. Lee, 2021. "Robust Design of Relief Distribution Networks Considering Uncertainty," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    16. Widener, Michael J. & Horner, Mark W., 2011. "A hierarchical approach to modeling hurricane disaster relief goods distribution," Journal of Transport Geography, Elsevier, vol. 19(4), pages 821-828.
    17. Gemma Berenguer & Pinar Keskinocak & J. George Shanthikumar & Jayashankar M. Swaminathan & Luk Van Wassenhove & Fuminori Toyasaki & Emel Arikan & Lena Silbermayr & Ioanna Falagara Sigala, 2017. "Disaster Relief Inventory Management: Horizontal Cooperation between Humanitarian Organizations," Production and Operations Management, Production and Operations Management Society, vol. 26(6), pages 1221-1237, June.
    18. Ming Zhang & Yu Zhang & Zhifeng Qiu & Hanlin Wu, 2019. "Two-Stage Covering Location Model for Air–Ground Medical Rescue System," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    19. Naji-Azimi, Z. & Renaud, J. & Ruiz, A. & Salari, M., 2012. "A covering tour approach to the location of satellite distribution centers to supply humanitarian aid," European Journal of Operational Research, Elsevier, vol. 222(3), pages 596-605.
    20. Loree, Nick & Aros-Vera, Felipe, 2018. "Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 1-24.
    21. Prashant Singh & Ankush R. Kamthane & Ajinkya N. Tanksale, 2021. "Metaheuristics for the distance constrained generalized covering traveling salesman problem," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 575-609, September.
    22. Lin, Yen-Hung & Batta, Rajan & Rogerson, Peter A. & Blatt, Alan & Flanigan, Marie, 2012. "Location of temporary depots to facilitate relief operations after an earthquake," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 112-123.
    23. Hanif D. Sherali & Frederick L. Nordai, 1988. "NP-Hard, Capacitated, Balanced p -Median Problems on a Chain Graph with a Continuum of Link Demands," Mathematics of Operations Research, INFORMS, vol. 13(1), pages 32-49, February.
    24. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    25. Ertan Yakıcı & Mumtaz Karatas & Serhan Duran, 2021. "A multi-objective approach in expanding the pre-positioning warehouse networks in humanitarian logistics," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 15(1), pages 67-102.
    26. Davis, Lauren B. & Sengul, Irem & Ivy, Julie S. & Brock, Luther G. & Miles, Lastella, 2014. "Scheduling food bank collections and deliveries to ensure food safety and improve access," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 175-188.
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