title: Particle swarm optimization algorithm for optimizing assignment of blood in blood banking system.
abstract: This paper reports the performance of particle swarm optimization (PSO) for the assignment of blood to meet patients' blood transfusion requests for blood transfusion. While the drive for blood donation lingers, there is need for effective and efficient management of available blood in blood banking systems. Moreover, inherent danger of transfusing wrong blood types to patients, unnecessary importation of blood units from external sources, and wastage of blood products due to nonusage necessitate the development of mathematical models and techniques for effective handling of blood distribution among available blood types in order to minimize wastages and importation from external sources. This gives rise to the blood assignment problem (BAP) introduced recently in literature. We propose a queue and multiple knapsack models with PSO-based solution to address this challenge. Simulation is based on sets of randomly generated data that mimic real-world population distribution of blood types. Results obtained show the efficiency of the proposed algorithm for BAP with no blood units wasted and very low importation, where necessary, from outside the blood bank. The result therefore can serve as a benchmark and basis for decision support tools for real-life deployment.
authors: School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Private Bag Box X54001, Durban 4000, South Africa.
authors: Micheal O
authors: MO
authors: Olusanya
authors: School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Private Bag Box X54001, Durban 4000, South Africa.
authors: Martins A
authors: MA
authors: Arasomwan
authors: School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Private Bag Box X54001, Durban 4000, South Africa.
authors: Aderemi O
authors: AO
authors: Adewumi
mesh_terms: D000465:Algorithms; D001771:Blood Banks / Q000458:organization & administration*; D001803:Blood Transfusion / Q000379:methods*; D003198:Computer Simulation; D003625:Data Collection; D006801:Humans; D008490:Medical Informatics / Q000379:methods*; D008962:Models, Theoretical; D011381:Programming Languages; D040841:Resource Allocation; D012204:Rh-Hr Blood-Group System; D012984:Software; D013019:South Africa
chemical_list: D012204:Rh-Hr Blood-Group System