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A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations

Author

Listed:
  • Rottkemper, Beate
  • Fischer, Kathrin
  • Blecken, Alexander

Abstract

The number of disasters and humanitarian crises which trigger humanitarian operations is ever-expanding. Unforeseen incidents frequently occur in the aftermath of a disaster, when humanitarian organizations are already in action. These incidents can lead to sudden changes in demand. As fast delivery of relief items to the affected regions is crucial, the obvious reaction would be to deliver them from neighbouring regions. Yet, this may incur future shortages in those regions as well. Hence, an integrated relocation and distribution planning approach is required, considering current demand and possible future developments.

Suggested Citation

  • Rottkemper, Beate & Fischer, Kathrin & Blecken, Alexander, 2012. "A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 98-109.
  • Handle: RePEc:eee:soceps:v:46:y:2012:i:1:p:98-109
    DOI: 10.1016/j.seps.2011.09.003
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:jomega:v:74:y:2018:i:c:p:1-14 is not listed on IDEAS
    2. 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.
    3. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    4. Rivera-Royero, Daniel & Galindo, Gina & Yie-Pinedo, Ruben, 2016. "A dynamic model for disaster response considering prioritized demand points," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 59-75.
    5. repec:eee:ejores:v:264:y:2018:i:3:p:1101-1115 is not listed on IDEAS
    6. repec:spr:annopr:v:247:y:2016:i:2:d:10.1007_s10479-015-2104-1 is not listed on IDEAS
    7. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.

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