eng International Academy of Ecology and Environmental Sciences Selforganizology 2410-0080 2019-12-1 6 3-4 13 23 1 article Ajay Singh Yadav 1 2 Anupam Swami 1 2 Geethanjali Kher 1 2 Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus Ghaziabad, Uttar Pradesh, India Department of Mathematics, Govt. P.G. College, Sambhal, U.P., India Department of Computer Science, Kirori mal College, Delhi, India Optimal blood management is one of the key tasks in managing a blood bank supply chain. Optimal methods of blood supply management are aimed at reducing costs in the blood bank supply chain through effective blood supply management so that members of monitoring committees are not affected by excess or shortage. In this article, we proposed an efficient approach that uses a genetic algorithm for optimal inventory management. This article presented a method based on a genetic algorithm for optimizing stocks in managing a blood bank supply chain. In particular, we focused on identifying the most likely stocks and levels of interaction needed to optimize blood supply in the blood bank supply chain in order to minimize the total cost of the blood bank supply chain. http://www.iaees.org/publications/journals/selforganizology/articles/2019-6(3-4)/blood-bank-supply-chain-inventory-model-using-genetic-algorithm.pdf supply chain inventory blood collection sites hospital of blood bank genetic algorithm