根据基于聚类和多箱大小包装问题的类储存策略,优化不规则储存区域的布局
Wenbin Zhang1, Yuehua Jin2, Ronghua Zhang2
1School of Mathematical Sciences, Jiangsu Second Normal University, Nanjing, China.
PloS one
|August 30, 2024
概括
这项研究优化了不规则的仓库布局,使用基于类的存储策略. 新模型简化了复杂的货架问题,减少了解决时间,提高了仓库空间优化的效率.
科学领域:
- 运营研究 运营研究
- 物流管理物流管理
- 工业工程 工业工程 工业工程
背景情况:
- 不规则的仓库空间带来了重要的布局优化挑战.
- 现有的方法经常与非线性存储问题的复杂性作斗争.
研究的目的:
- 为不规则的仓库布局制定一个优化方案.
- 实施基于类的存储策略,以提高效率.
主要方法:
- 不规则的空间转化为规则的矩形区域.
- 开发一种算法,将非线性聚类转换为线性选择.
- 为各种盒子大小构建一个货架聚类和包装算法.
主要成果:
- 在类存储下优化不规则仓库布局的有效解决方案.
- 显著减少模型复杂度.
- 与传统方法相比,缩短了溶液时间.
结论:
- 提出的方法为仓库布局优化提供了一个普遍适用的解决方案.
- 证明了在物流和运营研究中普遍化的重要价值.
- 为提高仓库运营效率提供了一种实际方法.
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