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July 31, 2026Results in Control and OptimizationOpen Access

Demand-responsive optimization of blood allocation under perishability and import constraints

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Authors

SNSimmera NdllalaneOOOlumuyiwa OtegbeyeAEAbsalom E. Ezugwu

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Overview

Randomized trial develops a blood allocation framework in blood banks, indicating improved supply management.

Key Points

  • This research aims to minimize blood waste and improve supply-demand alignment by developing a demand-responsive blood allocation framework.
  • Developed a demand-responsive blood allocation framework incorporating expiration and import variables.
  • Utilized a Multiple Knapsack Assignment (MKA) model to ensure transfusion compatibility and balanced stock levels.
  • Implemented and validated advanced metaheuristic algorithms, including Iterative Hybrid SOSGA using real-world blood bank data.
  • The Iterative Hybrid SOSGA algorithm outperformed individual techniques, significantly reducing expired units.
  • Achieved reductions in imported blood units, enhancing overall supply balance.
  • Demonstrated effective alignment between blood supply and demand, supporting sustainable healthcare operations.

Cite This Study

Ndllalane et al. (2026) studied this question.

synapsesocial.com/papers/6a6c46c0747664a1aa73baeahttps://doi.org/10.1016/j.rico.2026.100791
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