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Integrated relief pre-positioning and procurement planning in humanitarian supply chains

Author

Listed:
  • Ali Torabi, S.
  • Shokr, Iman
  • Tofighi, Saeideh
  • Heydari, Jafar

Abstract

Humanitarian organizations typically pre-position relief items in strategic locations whose optimum levels are affected by the amounts of pre-disaster contractual agreements and post-disaster procurements. To account for these interrelationships, this paper proposes a novel two-stage scenario-based mixed fuzzy-stochastic programming model for integrated relief pre-positioning and procurement planning based on a quantity flexibility (QF) contract under a mixture of uncertain data. An effective multi-step solution method is also devised to solve the problem in real-sized instances. Applicability of the proposed model is examined through a real case study. Finally, a number of sensitivity analyses are conducted to provide helpful managerial insights.

Suggested Citation

  • Ali Torabi, S. & Shokr, Iman & Tofighi, Saeideh & Heydari, Jafar, 2018. "Integrated relief pre-positioning and procurement planning in humanitarian supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 123-146.
    • Handle: RePEc:eee:transe:v:113:y:2018:i:c:p:123-146
    DOI: 10.1016/j.tre.2018.03.012
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