Optimal Blood Transportation in Disaster Relief Considering Facility Disruption and Route Reliability under Uncertainty

The blood supply chain as a part of healthcare systems play a substantial role in health improvement within societies, and blood supply for daily needs and especially in disasters is the challenges requiring more attention. This paper presents a fuzzy-stochastic mixed integer linear programming model to design blood supply chain network for disaster relief. To deal with the uncertainty in model parameters, a fuzzy programming approach is considered, and the combination of the expected value and the chance constrained programming is applied to solve the proposed model. Besides, a real case study in Iran is implemented to illustrate the applicability of the present model. The results implies that an appropriate adjustment in the capacity and coverage radius of blood facilities, the decrease in the disruption probability of facilities and transportation routes as well as referral rate can be applied as strategies to improve the supply chain costs. supply chain costs.