The Location Allocation Problem of after Disaster Blood Supply Chain


The planning of blood supply chains in catastrophe situations is explored in this study. In order to reduce overall network costs, a novel paradigm for simultaneous midterm and short-term planning is presented. Blood demand is regarded as a stochastic process, and this uncertainty is modeled using a scenario-based method. This model calculates the locations of fixed blood centers that should be created after a disaster (rather than centers that were destroyed during the disaster) and mobile blood facilities (which can move in order to collect blood in each time period). Blood donors are assigned to fixed centers and mobile facilities, as well as a transportation strategy for transferring blood from mobile facilities to fixed centers. For a case study, the suggested model is solved using GAMS software.

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