Presenting a stochastic multi choice goal programming model for reducing wastages and shortages of blood products at hospitals

One of the most fundamental components of healthcare systems is the blood supply chain management. this chain has two significant components including collecting donor’ bloods and supplying blood’s products. the main purpose of this paper is to concentrate on supplying blood products and present a novel constrained biobjective mathematical model for a two-echelon blood supply chain network (bscn). the aims of the proposed model are: 1) minimize products’ waste and shortage costs in hospitals and 2) to minimize the maximum unsatisfied demand of different products among hospital demands supplied by blood transfusion centers. some techniques are used to linearize the model’s nonlinear terms and decrease presented model’s complexity. a multi-choice goal programming (mcgp) technique is used to convert bi-objective model into a single objective one. the model is solved by mathematical software under 3 different scenarios and 18 time periods in realworld bscn. computational results showed that hospitals are tended in accepting products’ holding and waste costs to satisfy demands of patients who are highly need for receiving blood products.