چكيده به لاتين
Nowadays, due to the limitation of blood resources, perishability and special preservation conditions of blood products, consumption management of products in blood supply chain in order to minimizing the shortage and wastage costs, known as one of the most complex issues in healthcare systems. In this thesis, a robust mathematical programming model is proposed for optimizing storage and consumption of the blood products in hospitals. In this model, in addition to distribution of blood products by blood center directly to the demand points, ability of lateral transshipment between demand points is also considered as a way to deal with uncertainty in these products daily demand. Furthermore, freshness factor of blood products and the need of some surgeries to fresh blood products, As one of the important therapeutic implications in the real world are also considered in this model.
regard to justice in the allocation of products to hospitals, use of optimal consumption policy for products in hospitals and consider a mechanism to conduct lateral transshipment of blood products between hospitals are other features of the proposed model.
After presenting the primary model, Using authentic techniques for linearization, The initial and nonlinear model turns into a integer linear model. Then, by using a scenario-based robust approach, the proposed model turns into a robust linear mathematical model against uncertainty.
In order to validate the proposed model, a case study with data related to one blood center and forty hospitals in Tehran city and its results have been presented and its results will be analyzed and assessed. Finally, suggestions for model development and future researches will be presented.
Keywords:
Blood supply chain, Perishability, Lateral transshipment, Freshness of blood products, Uncertainty.
