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Iran's blood supply chain network 

Iran's blood supply chain network 

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Blood supply chains play a key role in the healthcare systems. This chain is comprised of two important components including collecting donators’ blood and supplying blood’s products. The chief purpose of this paper is to concentrate on supplying red blood cells (RBCs) and present a novel constrained bi-objective mathematical model for a two-echelo...

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... blood collections teams (MT), comprised of a group of blood transfusion organization's employees, and are located in predefined locations to collects volunteer donators' blood. Details of the inbound process of blood donation and other steps involved in an Iranian blood supply chain are shown in Figure 1 Hospitals demand for receiving blood driven products associates with different problems. First of all, the blood volume requested by hospitals is always more their real need. ...

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Blood transfusion services are vital components of healthcare systems all over the world. In this paper, a generalized network optimization model is developed for a complex blood supply chain in accordance with Iranian blood transfusion organization (IBTO) structure. This structure consists of four types facilities. Blood collection centers, blood...

Citations

... e models especially consider blood, considering the age of the blood unit for units stored in stock, the demands for two types of patients, the uncertainty in the demand rate, and the ratio of crossmatch to transfusion. Attari et al. [20] developed a goal programming model intending to diminish wastes and shortages of blood components in hospitals. ese are all the instances of considering only a single echelon; however, the modeling of the complete process operation flow within the blood supply chain is particularly needed. ...
... Within the proposed model, it is presumed that the procured shortage units SHRBC k,t (s) will possess a three-day shelf life. erefore, although computing the platelet units which are delivered to the hospital by the blood center with the three-day shelf life category (i.e., BCTHP k,t,3 (s)), SHRBC k,t (s) should also be incorporated alongside HP3 k,t (s) (where HP3 k,t (s) is the platelet units with three-day shelf life from the available inventory delivered to hospital k) as given in equation (20). ...
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Purpose: Blood, like fresh produce, is a perishable element, with platelets having a limited lifetime of five days and red blood cells lasting 42 days. To manage the blood supply chain more effectively under demand and supply uncertainty, it is of considerable importance to developing a practical blood supply chain model. This paper proposed an essential blood supply chain model under demand and supply uncertainty. Methods: This study focused on how to manage the blood supply chain under demand and supply uncertainty effectively. A stochastic mixed-integer linear programming (MILP) model for the blood supply chain is proposed. Furthermore, this study conducted a sensitivity analysis to examine the impacts of the coefficient of demand and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals. Results: Based on the results, the hospitals and the blood center can choose the optimal ordering policy that works best for them. From the results, we observed that when the coefficient of demand and supply variation is increased, the expected supply chain cost increased with more outdating units, shortages units, and holding units due to the impacts of supply and demand fluctuation. Variation in the inventory holding and expiration costs has an insignificant effect on the total cost. Conclusions: The model developed in this paper can assist managers and pathologists at the blood donation centers and hospitals to determine the most efficient inventory policy with a minimum cost based on the uncertainty of blood supply and demand. The model also performs as a decision support system to help health care professionals manage and control blood inventory more effectively under blood supply and demand uncertainty, thus reducing shortage of blood and expired wastage of blood.