Amelioration in cross-matching policy with subtypes of A for priority-based demand

• Published in: International journal of advanced and applied sciences Vol. 10; no. 2; pp. 210 - 218
• Main Authors: Chithraponnu, R., Umamaheswari, S.
• Format: Journal Article
• Language: English
• Published: 01.02.2023
• ISSN: 2313-626X; 2313-3724
• DOI: 10.21833/ijaas.2023.02.025

Blood transfusion is a medical procedure that requires prolonged intervention. In clinical treatment, red blood cells (RBCs) play a vital role and most demanded product in blood transfusion. The ABO/RhD system was considered in several research projects in the absence of subtypes of blood inventory management (BIM). In the issuing process, without considering the age of the blood, it becomes a risk factor for the recipient after transfusion. To overcome this problem and provide effective treatment, BIM should enhance its stock of specific subtypes and classify the blood's age (shelf-life). In past, no studies on issuing policies have examined A_1 A_2 BO substitution in inventory management with a new A_1 A_2 BO compatible and A_2 O priority table. For this reason, in this paper blood units of different ages are examined from two perspectives: (1) the current age of each unit and its substitution possibilities, and (2) providing effective medical services. Furthermore, the proposed system can determine the optimal order up to level quantities. Medical procedures and inventory management can both be managed effectively with this model. Hence, the goal of this research proposal is to minimize wastage and shortages along with service level substitution with age-dependent demand. By providing a numerical example, the model can validate the fact that compatibility substitution reduces wastage and blood shortages. Using a cross-matching policy, the enhanced model significantly improves the objective of this model compared to ABO substitution.