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Post-disaster grain supply chain resilience with government aid

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  • Yang, Yuefeng
  • Xu, Xuerong

Abstract

Assessing the disruption and resilience of the agricultural grain supply chain is critical to ensure grain supply and stabilize grain price in the final market. This research proposes a quantitative model to analyze how a grain processor regains robustness when supply is disrupted by a natural disaster upstream, and how this disruption affects grain retailers downstream. Two supply chain recovery methods, contingent sourcing and government aid, are considered for grain processor recovery. The results show that (1) a processor prefers timely full recovery, and (2) government aid as an intervention means is indispensable but cannot fully replace the backup supplier.

Suggested Citation

  • Yang, Yuefeng & Xu, Xuerong, 2015. "Post-disaster grain supply chain resilience with government aid," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 139-159.
  • Handle: RePEc:eee:transe:v:76:y:2015:i:c:p:139-159
    DOI: 10.1016/j.tre.2015.02.007
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    6. Fathalikhani, Somayeh & Hafezalkotob, Ashkan & Soltani, Roya, 2020. "Government intervention on cooperation, competition, and coopetition of humanitarian supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    7. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Jingwen Li & Ke Jing & Myroslav Khimich & Lixin Shen, 2023. "Optimization of Green Containerized Grain Supply Chain Transportation Problem in Ukraine Considering Disruption Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    9. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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