• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Intelligent Manufacturing >Deriving stacking strategies for export containers with uncertain weight information
【24h】

Deriving stacking strategies for export containers with uncertain weight information

机译：导出具有不确定重量信息的出口集装箱的堆叠策略

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In a container terminal, export containers are usually classified into one of a few weight groups and those belonging to the same group are stored together on a same stack. The reason for this stacking by weight groups is that it becomes easy to have heavier containers be loaded onto a ship before lighter ones, which is important for the balancing of the ship. However, since the weight information available at the time of container arrival is only an estimate, containers belonging to different weight groups are often stored together on a same stack. This becomes the cause of extra moves, or re-handlings, of containers at the time of loading to fetch out the heavier containers placed under the lighter ones. In this paper, we propose a method based on a simulated annealing search to derive a good stacking strategy for containers with uncertain weight information. Simulation experiments have shown that our strategies more effectively reduce the number of re-handlings than the traditional same-weight-group-stacking strategy. Also, additional experiments have shown that further improvement can be obtained if we increase the accuracy of the weight classification by applying machine learning.
机译：在集装箱码头中，出口集装箱通常分为几个重量组之一，而属于同一组的那些则一起存储在同一堆中。按重量组进行这种堆叠的原因是，较重的集装箱要比较轻的集装箱更容易被装载到船上，这对于平衡船很重要。然而，由于在集装箱到达时可用的重量信息仅是估计值，因此通常将属于不同重量组的集装箱一起存储在同一堆中。这成为在装载时容器额外移动或重新处理的原因，以取出放置在较轻容器下面的较重容器。在本文中，我们提出了一种基于模拟退火搜索的方法，以得出具有不确定重量信息的集装箱的良好堆叠策略。仿真实验表明，与传统的相同权重组堆叠策略相比，我们的策略可以更有效地减少重新处理的次数。另外，其他实验表明，如果我们通过应用机器学习提高权重分类的准确性，则可以获得进一步的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号