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Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation

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  • Hamdan, Bayan
  • Diabat, Ali

Abstract

Emergency supply of blood in disasters is a crucial task for humanitarian aid. In this paper, we present a bi-objective robust optimization model for the design of blood supply chains that are resilient to disaster scenarios. The proposed two-stage stochastic optimization model aims at minimizing the time and cost of delivering blood to hospitals after the occurrence of a disaster, while considering possible disruptions in blood facilities and transportation routes. A Lagrangian relaxation-based algorithm is developed that is capable of solving large-scale instances of the model. We apply this framework to a real case study of blood banks in Jordan.

Suggested Citation

  • Hamdan, Bayan & Diabat, Ali, 2020. "Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    • Handle: RePEc:eee:transe:v:134:y:2020:i:c:s1366554518300656
    DOI: 10.1016/j.tre.2019.08.005
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