模糊C-意味着基于集群的垂直集装箱堆叠在集装箱码头中的集群
Seokchan Lee1, Seung-Ho Lee1, Seung Chan Choi1
1Department of Industrial Engineering, Dankook University, 119, Dandae-ro, Cheonan-si, Chungcheongnam-do, 31116, Republic of Korea.
Scientific reports
|February 2, 2026
概括
本研究介绍了一种模糊的集群策略 (FVSS),以优化集装箱堆叠,显著减少重量差异,提高集装箱码头的运营效率. 通过智能基于重量的分配,FVSS通过最大限度地减少重组来增强集装箱检索.
科学领域:
- 运营研究 运营研究
- 物流管理物流管理
- 人工智能的人工智能
背景情况:
- 集装箱码头面临的低效率是由于重组,这涉及不必要的集装箱移动在取回期间.
- 传统的堆叠策略往往无法解释容器重量变化,导致运营瓶.
研究的目的:
- 为集装箱码头提出一种基于模糊集群的新型垂直堆叠策略 (FVSS).
- 提高运营效率,减少集装箱厂运营中的重量差异.
- 通过动态调整堆叠以适应容器重量来应对重组的挑战.
主要方法:
- 实现了模糊C-means (FCM) 聚类,根据历史数据将集装箱分为重量级.
- 开发了一个垂直堆叠策略,根据集群大小比例分配堆叠空间.
- 为每个堆分配一个重量参考值,以指导实时的容器堆决策.
主要成果:
- 与现有方法 (HSS,RSS,GMM) 相比,FVSS实现了高达78%的重量变异减少.
- 该策略即使在不确定的容器重量条件下也表现稳定.
- 使用现实世界的终端数据进行的数值实验验证实了FVSS的有效性.
结论:
- 对于集装箱码头运营,FVSS提供了一个强大的,计算效率高的解决方案.
- 将模糊优化集成到堆叠策略中可以显著提高重量管理和运营效率.
- 拟议的方法提供了一个灵活的垂直堆叠方法,可以适应重量相似性和不确定性.
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