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对于RoRo船只,重新处理意识的储存计划使用专属子图模型和基于亲和力的货物订单
Chang-Min Lee1, Hoon Lee2, Won-Suk Kim3,4
1The Department of Computer Engineering, Pusan National University, Busan, 46241, Republic of Korea.
Scientific reports
|December 17, 2025
概括
本研究引入了一种新的算法,以减少Roll-on/Roll-off (RoRo) 船舶上的货物再处理. 该方法大大减少了不必要的货物运输,降低了成本,提高了船舶运营的效率.
科学领域:
- 海上物流的海上物流
- 运营研究 运营研究
- 计算科学 计算科学
背景情况:
- 滚上/滚下 (RoRo) 船舶有助于高效的轮式货物处理.
- 在RoRo船舶上的货物储存呈现了NP-hard的RoRo船舶储存问题 (RSSP),其特点是潜在的货物路径阻塞.
- 再处理,即将其他货物转移到特定货物,会产生大量的成本和运营效率低下.
研究的目的:
- 开发一种有效的算法,以尽量减少RoRo船舶储存问题 (RSSP) 的重新处理.
- 为了降低货物处理成本,提高RoRo航运的运营效率.
主要方法:
- 为RSSP提出了一个基于追溯的算法.
- 关键组件包括一个不连接的子图船模型,考虑货物间关系的货物订单策略,冲突免区块 (CFB) 选择策略,以及重新处理货物分区的后处理策略.
主要成果:
- 与现有方法相比,拟议的方法实现了高达65%的重新处理实例的减少.
- 这意味着货物处理操作总数减少了大约18%.
结论:
- 开发的基于回溯的算法有效地减少了RSSP中的重新处理.
- 这些发现为降低RoRo航运运营成本和提高效率提供了实际解决方案.
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