IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v335y2024i3d10.1007_s10479-022-04758-5.html
   My bibliography  Save this article

Dynamic collaborative optimization for disaster relief supply chains under information ambiguity

Author

Listed:
  • Jiaxiang Zhu

    (Changzhou University)

  • Yangyan Shi

    (China University of Geosciences (Wuhan)
    Macquarie University)

  • V. G. Venkatesh

    (Metis Lab, EM Normandie Business School)

  • Samsul Islam

    (Dalhousie University)

  • Zhiping Hou

    (Guilin University of Technology)

  • Sobhan Arisian

    (La Trobe University)

Abstract

Large-scale disasters occur worldwide, with a continuing surge in the frequency and severity of disruptive events. Researchers have developed several optimization models to address the critical challenges of disaster relief supply chains (e.g., emergency material reserving and scheduling inefficiencies). However, most developed algorithms are proven to have low fault tolerance, which makes it difficult for disaster relief supply chain managers to obtain optimal solutions and meet the emergency distribution requirements within a limited time frame. Considering the uncertainty and ambiguity of disaster relief information and using Interval Type-2 Fuzzy Set (IT2TFS), this paper presents a collaborative optimization model based on an integrative emergency material supplier evaluation framework. The optimal emergency material suppliers are first selected using a multi-attribute group decision-making ranking method. Multi-objective fuzzy optimization is then run in three emergency phases: early -, mid-, and late-disaster relief stages. Focusing on a massive flash flood disaster event in Yunnan Province as a case study, a comprehensive numerical analysis tests and validates the developed model. The results revealed that the proposed optimization method can optimize emergency material planning while ensuring that reserve material safety inventory is always maintained at a reasonable level. The presented method suggests a fuzzy interval to prevent emergency materials’ safety inventory shortage and minimize continuous life/property losses in disaster-affected areas.

Suggested Citation

  • Jiaxiang Zhu & Yangyan Shi & V. G. Venkatesh & Samsul Islam & Zhiping Hou & Sobhan Arisian, 2024. "Dynamic collaborative optimization for disaster relief supply chains under information ambiguity," Annals of Operations Research, Springer, vol. 335(3), pages 1303-1329, April.
    • Handle: RePEc:spr:annopr:v:335:y:2024:i:3:d:10.1007_s10479-022-04758-5
    DOI: 10.1007/s10479-022-04758-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04758-5
    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/s10479-022-04758-5?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. Zhou, Quan Spring & Olsen, Tava Lennon, 2018. "Rotating the medical supplies for emergency response: A simulation based approach," International Journal of Production Economics, Elsevier, vol. 196(C), pages 1-11.
    2. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    3. Yong-ling Zhang & Lu Chen, 2016. "Emergency materials reserve of government for natural disasters," 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. 81(1), pages 41-54, March.
    4. Jingxian Chen & Liang Liang & Dong-Qing Yao, 2017. "Pre-positioning of relief inventories for non-profit organizations: a newsvendor approach," Annals of Operations Research, Springer, vol. 259(1), pages 35-63, December.
    5. Yong-ling Zhang & Lu Chen, 2016. "Emergency materials reserve of government for natural disasters," 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. 81(1), pages 41-54, March.
    6. Anh Ninh & Benjamin Melamed & Yao Zhao, 2020. "Analysis and optimization of recruitment stocking problems," Annals of Operations Research, Springer, vol. 295(2), pages 747-767, December.
    7. Alessia Cogato & Franco Meggio & Massimiliano De Antoni Migliorati & Francesco Marinello, 2019. "Extreme Weather Events in Agriculture: A Systematic Review," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    8. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    9. Burcu Balcik & Deniz Ak, 2014. "Supplier Selection for Framework Agreements in Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1028-1041, June.
    10. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods," European Journal of Operational Research, Elsevier, vol. 264(3), pages 978-993.
    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. Zhang, Meng & Kong, Zhaojun, 2023. "A two-phase combinatorial double auction and negotiation mechanism for socialized joint reserve mode in emergency preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. 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.
    3. Lijo John & Anand Gurumurthy & Arqum Mateen & Gopalakrishnan Narayanamurthy, 2022. "Improving the coordination in the humanitarian supply chain: exploring the role of options contract," Annals of Operations Research, Springer, vol. 319(1), pages 15-40, December.
    4. Ke Zhang & Jae Eun Lee, 2024. "Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    5. Moshtari, Mohammad & Altay, Nezih & Heikkilä, Jussi & Gonçalves, Paulo, 2021. "Procurement in humanitarian organizations: Body of knowledge and practitioner's challenges," International Journal of Production Economics, Elsevier, vol. 233(C).
    6. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    7. Seongtae Kim & M. Ramkumar & Nachiappan Subramanian, 2019. "Logistics service provider selection for disaster preparation: a socio-technical systems perspective," Annals of Operations Research, Springer, vol. 283(1), pages 1259-1282, December.
    8. Battarra, Maria & Balcik, Burcu & Xu, Huifu, 2018. "Disaster preparedness using risk-assessment methods from earthquake engineering," European Journal of Operational Research, Elsevier, vol. 269(2), pages 423-435.
    9. Coskun, Abdullah & Salman, F. Sibel & Pashapour, Amirreza, 2024. "Relief item inventory planning under centralized and decentralized bilateral cooperation and uncertain transshipment quantities," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    10. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    11. Jonas Stumpf & Maria Besiou & Tina Wakolbinger, 2023. "Supply chain preparedness: How operational settings, product and disaster characteristics affect humanitarian responses," Production and Operations Management, Production and Operations Management Society, vol. 32(8), pages 2491-2509, August.
    12. Guo, Penghui & Zhu, Jianjun, 2023. "Capacity reservation for humanitarian relief: A logic-based Benders decomposition method with subgradient cut," European Journal of Operational Research, Elsevier, vol. 311(3), pages 942-970.
    13. 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).
    14. Anne M. Quarshie & Rudolf Leuschner, 2020. "Interorganizational Interaction in Disaster Response Networks: A Government Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(3), pages 3-25, July.
    15. Zhang, Weijian & Shi, Xianliang & Huang, Anqiang & Hua, Guowei & Teunter, Ruud H., 2023. "Optimal stock and capital reserve policies for emergency medical supplies against epidemic outbreaks," European Journal of Operational Research, Elsevier, vol. 304(1), pages 183-191.
    16. Paul, Jomon Aliyas & Wang, Xinfang (Jocelyn), 2015. "Robust optimization for United States Department of Agriculture food aid bid allocations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 129-146.
    17. Fan, Yu & Shao, Jianfang & Wang, Xihui & Liang, Liang, 2024. "Contract design between relief organisations and private-sector vendors: A humanitarian logistics framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    18. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    19. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    20. Seddighi, Hamed & Baharmand, Hossein, 2020. "Exploring the role of the sharing economy in disasters management," Technology in Society, Elsevier, vol. 63(C).

    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:annopr:v:335:y:2024:i:3:d:10.1007_s10479-022-04758-5. 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.