a location model for blood donation camps with consideration of disruption

blood supply chain management is one of the mainchallenges in healthcare system. optimal locationof blood donation camps is one of the key factors in optimizing the bloodsupply chain. disruption in location of blood donation camps because ofdisasters will have a negative impact on the entire supply chain. thispaper develops a generalized network optimization model for the complex supplychain of human blood, that consists of blood donation camps, collection sites,disposal sites as well as points of demand and astochastic programming formulation for the location of blood donationcamps with unreliable facilities is presented.this model determines the location of blood donation camps and the number oftransfused blood units taken under different scenarios between the componentsof supply chain. a sampling-based algorithm called sample average approximationalgorithm is used to approximately solve this model and present thecomputational results.