Exact solution of location–routing problems with heterogeneous fleet and weight-based carbon emissions

Sihan Wang , Wei Sun , Roberto Baldacci , Adel Elomri
{"title":"Exact solution of location–routing problems with heterogeneous fleet and weight-based carbon emissions","authors":"Sihan Wang ,&nbsp;Wei Sun ,&nbsp;Roberto Baldacci ,&nbsp;Adel Elomri","doi":"10.1016/j.tre.2024.103862","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates a location–routing problem with heterogeneous fleet and weight-based carbon emissions, aiming to minimize total operating costs, including depot and vehicle fixed costs and carbon emissions. The problem is formulated using an extended formulation, from which a relaxation is derived. The relaxation is further strengthened with additional cuts. For this problem, we devise an exact algorithm that combines a branch-price-and-cut algorithm with state-of-the-art technologies. The exact algorithm relies on a novel bidirectional labeling algorithm; it merges labels through <em>cost compensation</em>, leading to an effective solution. We conduct comprehensive computational experiments to validate the proposed algorithm, evaluating key factors related to carbon emissions. Our findings confirm the algorithm’s efficacy, highlighting its potential as a useful tool for addressing the location routing problem in heterogeneous fleet scenarios.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103862"},"PeriodicalIF":8.3000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554524004538","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

This paper investigates a location–routing problem with heterogeneous fleet and weight-based carbon emissions, aiming to minimize total operating costs, including depot and vehicle fixed costs and carbon emissions. The problem is formulated using an extended formulation, from which a relaxation is derived. The relaxation is further strengthened with additional cuts. For this problem, we devise an exact algorithm that combines a branch-price-and-cut algorithm with state-of-the-art technologies. The exact algorithm relies on a novel bidirectional labeling algorithm; it merges labels through cost compensation, leading to an effective solution. We conduct comprehensive computational experiments to validate the proposed algorithm, evaluating key factors related to carbon emissions. Our findings confirm the algorithm’s efficacy, highlighting its potential as a useful tool for addressing the location routing problem in heterogeneous fleet scenarios.
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
基于重量碳排放的异构车队位置路径问题的精确解
本文研究了基于碳排放的异构车队和基于重量的位置路由问题,旨在最小化总运营成本,包括仓库和车辆的固定成本以及碳排放。这个问题是用一个扩展的公式来表述的,从这个公式中可以推导出松弛。通过额外的削减,进一步加强了放松。对于这个问题,我们设计了一个精确的算法,将分支价格和切割算法与最先进的技术相结合。精确的算法依赖于一种新的双向标注算法;它通过成本补偿来合并标签,从而得到一个有效的解决方案。我们进行了全面的计算实验来验证所提出的算法,评估了与碳排放相关的关键因素。我们的研究结果证实了该算法的有效性,突出了它作为解决异构车队场景中位置路由问题的有用工具的潜力。
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
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
期刊最新文献
Multi-agent deep reinforcement learning-based truck-drone collaborative routing with dynamic emergency response Enhancing resilience in supply chains through resource orchestration and AI assimilation: An empirical exploration An interpretable machine learning framework for enhancing road transportation safety Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme Is operational flexibility a viable strategy during major supply chain disruptions? Evidence from the COVID-19 pandemic
×
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