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Reserving relief supplies for earthquake: a multi-attribute decision making of China Red Cross

Author

Listed:
  • Feng Yang

    (University of Science and Technology of China)

  • Qianqian Yuan

    (University of Science and Technology of China)

  • Shaofu Du

    (University of Science and Technology of China)

  • Liang Liang

    (University of Science and Technology of China)

Abstract

Earthquake usually causes grievous damages especially in the earthquake prone areas. Building a fast and effective relief system is very important. China Red Cross is the largest humanitarian organizations in China. To improve its disaster response system, reserving relief supplies gets more and more attentions. In this article, a decision making programming based on the data envelopment analysis method is proposed in the construction of reserve network for China Red Cross with three factors, including cost, risk and utility. Four warehouses are selected and the optimal allocation strategies are obtained under the principles of equity and effectiveness which should be obeyed in humanitarian assistance.

Suggested Citation

  • Feng Yang & Qianqian Yuan & Shaofu Du & Liang Liang, 2016. "Reserving relief supplies for earthquake: a multi-attribute decision making of China Red Cross," Annals of Operations Research, Springer, vol. 247(2), pages 759-785, December.
    • Handle: RePEc:spr:annopr:v:247:y:2016:i:2:d:10.1007_s10479-014-1749-5
    DOI: 10.1007/s10479-014-1749-5
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    Cited by:

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    3. Faraz Salehi & Masoud Mahootchi & Seyed Mohammad Moattar Husseini, 2019. "Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran," Annals of Operations Research, Springer, vol. 283(1), pages 679-703, December.
    4. Akash Sinha & Prabhat Kumar & Nripendra P. Rana & Rubina Islam & Yogesh K. Dwivedi, 2019. "Impact of internet of things (IoT) in disaster management: a task-technology fit perspective," Annals of Operations Research, Springer, vol. 283(1), pages 759-794, December.
    5. Soheyl Khalilpourazari & Alireza Arshadi Khamseh, 2019. "Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application," Annals of Operations Research, Springer, vol. 283(1), pages 355-393, December.
    6. Mohsen Yahyaei & Ali Bozorgi-Amiri, 2019. "Robust reliable humanitarian relief network design: an integration of shelter and supply facility location," Annals of Operations Research, Springer, vol. 283(1), pages 897-916, December.
    7. Urmila Pyakurel & Hari Nandan Nath & Tanka Nath Dhamala, 2019. "Partial contraflow with path reversals for evacuation planning," Annals of Operations Research, Springer, vol. 283(1), pages 591-612, December.
    8. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    9. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    10. Guo Fuli & Cyril Foropon & Ma Xin, 2022. "Reducing carbon emissions in humanitarian supply chain: the role of decision making and coordination," Annals of Operations Research, Springer, vol. 319(1), pages 355-377, December.
    11. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
    12. Shuihua Han & Hu Huang & Zongwei Luo & Cyril Foropon, 2019. "Harnessing the power of crowdsourcing and Internet of Things in disaster response," Annals of Operations Research, Springer, vol. 283(1), pages 1175-1190, December.
    13. Hasti Seraji & Reza Tavakkoli-Moghaddam & Sobhan Asian & Harpreet Kaur, 2022. "An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty," Annals of Operations Research, Springer, vol. 319(1), pages 211-257, December.

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