应用网络流量优化技术,尽量减少与洪水灾害相关的成本
Simon D Okonta1,2, John Olaomi2
1Department of Statistics, School of Applied Sciences and Technology, Delta State Polytechnic, Otefe-Oghara, Nigeria.
Jamba (Potchefstroom, South Africa)
|October 5, 2023
概括
本研究提出了一种数学模型,以尽量减少洪水灾害期间的救援行动成本. 随机编程方法有效降低了分销费用,成功运营的基准成本为1,016,673.37美元.
科学领域:
- 运营研究 运营研究
- 灾害管理 灾害管理
- 物流物流物流物流物流是什么
背景情况:
- 洪水灾害在全球范围内带来了重大挑战,需要有效地分配人道主义援助.
- 协调救援行动需要尽量降低成本,同时满足各种需求.
研究的目的:
- 开发和应用一个数学模型,以尽量减少在洪水灾害期间的紧急救援行动的成本.
- 优化从供应仓库到配送点的救援物资的分配.
主要方法:
- 使用随机编程来解决多种商品和多种模式网络流量问题.
- 整合了四个供应仓库,六个配送点,两种车辆类型 (直升机和卡车) 和三种救援物资类型 (食品,水,医疗).
- 建模了三种灾难场景 (轻度,中度,严重) 与相关的概率,并使用LINGO软件解决.
主要成果:
- 制定的模型有效地降低了紧急救援行动的分发成本.
- 在成功的救援行动中实现了大约1,016,673.37美元的最小化成本.
- 在需求和满足需求之间显示出最小的差异,表明有效的资源配置.
结论:
- 开发的模型为政府和机构规划灾害响应提供了一个基准成本.
- 航空和公路运输模式的整合优化了交货时间,最终挽救了生命.
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