Citation

Yang Y, Xu X. Transp. Res. E Logist. Transp. Rev. 2015; 76: 139-159.

Copyright

(Copyright © 2015, Elsevier Publishing)

DOI

10.1016/j.tre.2015.02.007

PMID

unavailable

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.