针对多目标血液供应链网络的强有力的优化模型,考虑在不确定性下的场景分析:多目标方法
Saeed Khakshouri Fariman1, Kasra Danesh2, Mostafa Pourtalebiyan3
1Department of Industrial Engineering, Eshragh Institute of Higher Education, Bojnourd, Iran. Fariman.saeed@eshragh.ac.ir.
Scientific reports
|April 24, 2024
概括
这项研究利用数学模型优化了自然灾害期间的血液供应链. 有效的管理将短缺和成本降至最低,确保危机后的关键血液需求得到满足.
科学领域:
- 运营研究 运营研究
- 灾害管理 灾害管理
- 公共卫生 公共卫生
背景情况:
- 诸如洪水和地震之类的自然灾害造成了大量的生命和资源损失.
- 有效的血液供应链对于应对灾害至关重要,因为血液的易腐性质.
- 现有的供应链在危机期间难以满足不断波动的血液需求.
研究的目的:
- 开发一个多目标的数学编程模型,在危机后的场景中优化血液供应链.
- 根据数量和位置有效地分配血液资源,以满足需求.
- 确定新的献血和医疗设施的最佳地点.
主要方法:
- 开发一个强大的优化数学编程模型.
- 从伊朗的案例研究中利用现实世界的数据.
- 包括场景分析来增强模型的现实性和适用性.
主要成果:
- 该模型成功地将血液分配给需求设施,考虑到各种危机情况.
- 确定新的献血中心和医疗设施的最佳位置.
- 通过优化供应链设计来证明减少短缺和成本.
结论:
- 有效的管理和优化的供应链设计对于在自然灾害期间处理血液需求至关重要.
- 拟议的模型为尽量减少血液短缺和相关成本提供了一个框架.
- 这项研究强调了主动规划在为血液供应做好灾难准备方面的重要性.
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