Assessing the Effects of Container Handling Strategies on Enhancing Freight Throughput

Sarita Rattanakunuprakarn, Mingzhou Jin, Mustafa Can Camur, Xueping Li
{"title":"Assessing the Effects of Container Handling Strategies on Enhancing Freight Throughput","authors":"Sarita Rattanakunuprakarn, Mingzhou Jin, Mustafa Can Camur, Xueping Li","doi":"arxiv-2408.02768","DOIUrl":null,"url":null,"abstract":"As global supply chains and freight volumes grow, the U.S. faces escalating\ntransportation demands. The heavy reliance on road transport, coupled with the\nunderutilization of the railway system, results in congested highways,\nprolonged transportation times, higher costs, and increased carbon emissions.\nCalifornia's San Pedro Port Complex (SPPC), the nation's busiest, incurs a\nsignificant share of these challenges. We utilize an agent-based simulation to\nreplicate real-world scenarios, focusing on the intricacies of interactions in\na modified intermodal inbound freight system for the SPPC. This involves\nrelocating container classification to potential warehouses in California,\nUtah, Arizona, and Nevada, rather than exclusively at port areas. Our primary\naim is to evaluate the proposed system's efficiency, considering cost and\nfreight throughput, while also examining the effects of workforce shortages.\nComputational analysis suggests that strategically installing intermodal\ncapabilities in select warehouses can reduce transportation costs, boost\nthroughput, and foster resour","PeriodicalId":501315,"journal":{"name":"arXiv - CS - Multiagent Systems","volume":"57 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Multiagent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.02768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As global supply chains and freight volumes grow, the U.S. faces escalating transportation demands. The heavy reliance on road transport, coupled with the underutilization of the railway system, results in congested highways, prolonged transportation times, higher costs, and increased carbon emissions. California's San Pedro Port Complex (SPPC), the nation's busiest, incurs a significant share of these challenges. We utilize an agent-based simulation to replicate real-world scenarios, focusing on the intricacies of interactions in a modified intermodal inbound freight system for the SPPC. This involves relocating container classification to potential warehouses in California, Utah, Arizona, and Nevada, rather than exclusively at port areas. Our primary aim is to evaluate the proposed system's efficiency, considering cost and freight throughput, while also examining the effects of workforce shortages. Computational analysis suggests that strategically installing intermodal capabilities in select warehouses can reduce transportation costs, boost throughput, and foster resour
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
评估集装箱装卸策略对提高货运吞吐量的影响
随着全球供应链和货运量的增长,美国面临着不断升级的运输需求。对公路运输的严重依赖,再加上铁路系统利用不足,导致公路拥堵、运输时间延长、成本上升和碳排放增加。加利福尼亚州的圣佩德罗港口综合体(SPPC)是全美最繁忙的港口,在这些挑战中占有重要份额。我们利用基于代理的模拟来复制现实世界中的情景,重点关注 SPPC 的改良多式联运进港货运系统中错综复杂的互动。这涉及将集装箱分类转移到加利福尼亚州、犹他州、亚利桑那州和内华达州的潜在仓库,而不仅仅是港口地区。我们的主要目的是评估拟议系统的效率,同时考虑成本和货物吞吐量,并研究劳动力短缺的影响。计算分析表明,在选定的仓库中战略性地安装多式联运能力可以降低运输成本、提高吞吐量并促进资源分配。
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
自引率
0.00%
发文量
0
期刊最新文献
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark Multi-agent Path Finding in Continuous Environment
×
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