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

S. Ali Torabi, Iman Shokr, Saeideh Tofighi and Jafar Heydari

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 113, issue C, 123-146

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.

Keywords: Humanitarian logistics; Relief pre-positioning; Procurement planning; Quantity flexibility contract; Two-stage mixed fuzzy-stochastic programming; Differential evolution (search for similar items in EconPapers)
Date: 2018
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