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English(EN) A Dynamic Inventory Rationing Model for Last-Mile Delivery of Medication in Liberia's Community Health Program

AI模型优化利比里亚药品配送

研究人员开发了一种新的动态库存配给模型,以优化利比里亚社区卫生计划中稀缺药品的分配。该模型解决了中央库存灵活性与社区卫生助理(CHA)的本地分配之间的平衡问题,旨在降低患者转诊成本和未治疗病例。该模型利用深度神经网络来近似价值函数及其梯度,计算出动态分配策略。在用洛法县的疟疾病例数据进行测试时,与现有基准相比,该模型在保持高公平效用的同时,运营成本降低了6%。 AI

影响 为资源受限的医疗保健环境中最后一公里物流的优化提供了一个新颖的框架。

排序理由 该集群包含一篇学术论文,详细介绍了一种针对特定优化问题的新模型和计算方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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AI模型优化利比里亚药品配送

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该集群包含一篇学术论文,详细介绍了一种针对特定优化问题的新模型和计算方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Baris Ata, Yufan Chen, Robert Montgomery ·

    利比里亚社区卫生计划中药品最后一公里配送的动态库存配给模型

    arXiv:2610.32051v1 Announce Type: cross Abstract: We study the dynamic allocation of scarce medications in Liberia's community health program. A central warehouse supplies a health facility and the Community Health Assistants (CHAs) it supervises. When a CHA runs out of medicatio…