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新鲜食品电子商务前仓库的位置优化
Dezheng Zhang1, Shuai Chen1, Na Zhou1
1School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China.
Mathematical biosciences and engineering : MBE
|September 7, 2023
概括
本研究介绍了一种优化位置模型,用于新鲜产品电子商务前仓库,最大限度地降低成本. 改进的免疫算法提高了解决方案的准确性,以实现高效的仓库布局和扩张策略.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 电子商务物流电子商务物流
背景情况:
- 新鲜农产品电子商务部门迅速扩大,受到COVID-19等全球事件的影响,以及冷链物流的进步.
- 了解消费者对新鲜产品的需求对于优化电子商务运营至关重要.
研究的目的:
- 为新鲜产品电子商务前仓开发一个位置分配模型,旨在最大限度地降低总运营成本.
- 引入和验证一个改进的免疫优化算法来解决位置分配问题.
主要方法:
- 在新鲜的电子商务中为前仓库构建位置分配模型.
- 开发和应用一个改进的免疫优化算法.
- 通过与传统遗传算法进行比较的真实世界案例研究进行验证.
主要成果:
- 与传统的遗传算法相比,改进的免疫优化算法显示出更高的解决方案准确性.
- 拟议的定位模式有效地支持新鲜食品电子商务企业开设新的前端仓库.
- 该模型为前部仓库布局策略提供了最佳的经济决策.
结论:
- 开发的位置分配模型和改进的免疫优化算法为新鲜农产品电子商务物流中的挑战提供了强大的解决方案.
- 这项研究为寻求优化前仓库网络并响应不断增长的需求的企业提供了宝贵的见解.
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