A Model for Blood Bank Facility-Location Problem at Post Disaster Area

Effective handling of post-disaster victims is essential for the safety of humanity, both direct victims and those affected by the disaster. Especially the effectiveness, Including a reliable network design for the distribution of essential commodities in the form of blood units, where a disaster can suddenly cause the demand for blood units to be high, but the supply in the hospital is not enough. The main objective of this research is to model and solve the problem of determining the location of post-disaster temporary blood bank facilities that are expected to serve hospitals that must be located in such a way with a minimum response time to be able to help hospital requests in the nearest area. Completing the model is done by making the distance to the hospital minimal and also expected to maximize the number of blood donors that can be reached. Heuristic Tabu Search (HTS) is proposed as a solution to solving the problem by taking the case of multi-facility-location with the mini-max model by calculating the distance using the euclidean distance. The number of temporary blood banks can be optimized by calculating the minimum total cost by considering various cost elements such as transportation costs, fixed costs, and maintenance costs. To demonstrate the proposed solution, a case study on hospitals and blood banks in Medan City was presented.