A location Model for Blood Donation Camps with Consideration of Disruption

Blood supply chain management is one of the main challenges in healthcare system. Optimal location of blood donation camps is one of the key factors in optimizing the blood supply chain. Disruption in location of blood donation camps because of disasters will have a negative impact on the entire supply chain. This paper develops a generalized network optimization model for the complex supply chain of human blood، that consists of blood donation camps، collection sites، disposal sites as well as points of demand and a stochastic programming formulation for the location of blood donation camps with unreliable facilities is presented. This model determines the location of blood donation camps and the number of transfused blood units taken under different scenarios between the components of supply chain. A sampling-based algorithm called sample average approximation algorithm is used to approximately solve this model and present the computational results.