血小板库存管理:纳入数据驱动的需求预测

Maryam Motamedi1, Jessica Dawson1, Na Li1,2,3

  • 1Department of Computing and Software, McMaster University, Hamilton, L8S 4L8, Ontario, Canada.

概括

这项研究引入了一个数据驱动的模型来管理血小板库存,旨在减少短缺和浪费. 调查结果显示,结合需求预测可以改善库存管理,即使有预测错误.

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