چكيده به لاتين
The blood, its components, and the blood products play a significant role in the treatment and prevention of a range of diseases, old and new. The limited resources of blood, the perishability, decreasing effect with time, the special conditions of storage, and blood supply on time and enough are the complexity of the blood supply chain. So, the management of the blood supply chain that is including three main parts the collection, the production, and the distribution, has special importance for the health and therapy network of countries.
This thesis presents a single period MILP scenario-based mathematical programming model for an integrated blood plasma supply chain under uncertainty demand of both therapy and medicine. The present study, considering all three main sections of the blood supply chain (the collection, the production, and the distribution), minimizes the total cost as well as the unsatisfied demand. Additionally, both type of blood plasma production, the recovered plasma method, and the apheresis plasma method, and the specific features of two methods, has been studied and used in the thesis.
After proposed the primary model, the model develops with three scenarios (pessimistic, realistic, and optimistic) for responding to the uncertainty demand of both therapy and medicine. After that, the actual data of a case study are used to illustrate the applicability also the performance of the offered model as well as validation. We chose the Iranian Blood Transfusion Organization (IBTO), and Tehran city as a case study. The case study including a regional blood center as the producer of the blood components, 5 blood collection centers as the collection centers, 10 hospitals as the points with high plasma therapy demand, and a provision center as plasma medicinal demand for converting to plasma-derived products. Then, the model data are checked, and after sensitivity analysis on them, we propose our managerial insights. Finally, we suggest some items for model development and future searchers.
