Real-time policy for yard allocation of transshipment containers in a terminal

IF 5.8 1区 工程技术 Q1 ECONOMICS Transportation Research Part B-Methodological Pub Date : 2025-01-13 DOI:10.1016/j.trb.2024.103138
Abdo Abouelrous, Rommert Dekker, Laurens Bliek, Yingqian Zhang
{"title":"Real-time policy for yard allocation of transshipment containers in a terminal","authors":"Abdo Abouelrous, Rommert Dekker, Laurens Bliek, Yingqian Zhang","doi":"10.1016/j.trb.2024.103138","DOIUrl":null,"url":null,"abstract":"In this article, we investigate the problem of allocating storage space in a container terminal’s yard to transshipment containers. The main decision here concerns the block to which a container is assigned for storage until it is loaded later by another vessel. We propose a setting where some target performance measures are imposed on the discharge operations. In turn, the allocation decisions are made so as to reduce driving time from the storage blocks to the berth locations of the vessels that will pick up the containers. The trick here is to find an appropriate trade-off between the times spent on discharge and loading so that neither are delayed significantly. Using results from renewal theory, queuing theory and machine learning, we are able to quantify the effect of our allocation decisions on quay crane productivity. Thereafter, we formulate a mathematical optimization problem for the yard-allocation of containers and apply a meta-heuristic to solve it. Our method was developed for deployment by a software consultancy company for container terminals. We test our method using a real-time simulation and compare it with a benchmark from the literature. We show that our method generates reductions in vessel berth times and provide an overview on its economic impact.","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"5 1","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part B-Methodological","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.trb.2024.103138","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

In this article, we investigate the problem of allocating storage space in a container terminal’s yard to transshipment containers. The main decision here concerns the block to which a container is assigned for storage until it is loaded later by another vessel. We propose a setting where some target performance measures are imposed on the discharge operations. In turn, the allocation decisions are made so as to reduce driving time from the storage blocks to the berth locations of the vessels that will pick up the containers. The trick here is to find an appropriate trade-off between the times spent on discharge and loading so that neither are delayed significantly. Using results from renewal theory, queuing theory and machine learning, we are able to quantify the effect of our allocation decisions on quay crane productivity. Thereafter, we formulate a mathematical optimization problem for the yard-allocation of containers and apply a meta-heuristic to solve it. Our method was developed for deployment by a software consultancy company for container terminals. We test our method using a real-time simulation and compare it with a benchmark from the literature. We show that our method generates reductions in vessel berth times and provide an overview on its economic impact.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
码头转运集装箱堆场分配的实时策略
本文研究了集装箱码头堆场中集装箱转运的存储空间分配问题。这里的主要决定涉及到一个集装箱被分配到哪个区块,直到它被另一艘船装载。我们建议设置一些目标绩效措施强加于排放操作。然后,做出分配决策,以减少从存储块到将装载集装箱的船舶泊位的驾驶时间。这里的技巧是在卸载和加载时间之间找到一个适当的权衡,以便两者都不会明显延迟。利用更新理论、排队理论和机器学习的结果,我们能够量化我们的分配决策对码头起重机生产率的影响。在此基础上,提出了集装箱堆码分配的数学优化问题,并应用元启发式方法求解。我们的方法是由一家集装箱码头软件咨询公司开发的。我们使用实时模拟测试我们的方法,并将其与文献中的基准进行比较。我们表明,我们的方法减少了船舶停泊时间,并概述了其经济影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Transportation Research Part B-Methodological
Transportation Research Part B-Methodological 工程技术-工程:土木
CiteScore
12.40
自引率
8.80%
发文量
143
审稿时长
14.1 weeks
期刊介绍: Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.
期刊最新文献
Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem Estimating gap acceptance parameters with a Bayesian approach What do walking and e-hailing bring to scale economies in on-demand mobility? Optimizing carbon emissions in green logistics for time-dependent routing Equilibrium horizontal queues and a paradox of tolling
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1