International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 10, Issue 2 (February 2023), Pages: 210-218

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 Original Research Paper

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

 Author(s): 

 R. Chithraponnu, S. Umamaheswari *

 Affiliation(s):

 Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-0317-8368

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2023.02.025

 Abstract:

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 š“1š“2šµš‘‚ substitution in inventory management with a new š“1š“2šµš‘‚ compatible and š“2š‘‚ 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.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Age-dependent, Blood subtypes, Cross-matching, RBC, Substitution, Transfusion

 Article History: Received 11 August 2022, Received in revised form 15 November 2022, Accepted 18 November 2022

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Chithraponnu R and Umamaheswari S (2023). Amelioration in cross-matching policy with subtypes of A for priority-based demand. International Journal of Advanced and Applied Sciences, 10(2): 210-218

 Permanent Link to this page

 Figures

 Fig. 1 

 Tables

 Table 1 Table 2 Table 3 

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