MULTI-OBJECTIVE GREEN MIXED VEHICLE ROUTING PROBLEM UNDER ROUGH ENVIRONMENT

IF 1.3 4区 工程技术 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Transport Pub Date : 2021-02-25 DOI:10.3846/TRANSPORT.2021.14464
J. Dutta, Partha Sarathi Barma, A. Mukherjee, S. Kar, T. De, D. Pamučar, Sarunas Sukevicius, G. Garbinčius
{"title":"MULTI-OBJECTIVE GREEN MIXED VEHICLE ROUTING PROBLEM UNDER ROUGH ENVIRONMENT","authors":"J. Dutta, Partha Sarathi Barma, A. Mukherjee, S. Kar, T. De, D. Pamučar, Sarunas Sukevicius, G. Garbinčius","doi":"10.3846/TRANSPORT.2021.14464","DOIUrl":null,"url":null,"abstract":"This paper proposes a multi-objective Green Vehicle Routing Problem (G-VRP) considering two types of vehicles likely company-owned vehicle and third-party logistics in the imprecise environment. Focusing only on one objective, especially the distance in the VRP is not always right in the sustainability point of view. Here we present a bi-objective model for the G-VRP that can address the issue of the emission of GreenHouse Gases (GHGs). We also consider the demand as a rough variable. This paper uses the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to solve the proposed model. Finally, it uses Multicriteria Optimization and Compromise Solution (abbreviation in Serbian – VIKOR) method to determine the best alternative from the Pareto front.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"10-11 1","pages":"1-13"},"PeriodicalIF":1.3000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3846/TRANSPORT.2021.14464","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 8

Abstract

This paper proposes a multi-objective Green Vehicle Routing Problem (G-VRP) considering two types of vehicles likely company-owned vehicle and third-party logistics in the imprecise environment. Focusing only on one objective, especially the distance in the VRP is not always right in the sustainability point of view. Here we present a bi-objective model for the G-VRP that can address the issue of the emission of GreenHouse Gases (GHGs). We also consider the demand as a rough variable. This paper uses the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to solve the proposed model. Finally, it uses Multicriteria Optimization and Compromise Solution (abbreviation in Serbian – VIKOR) method to determine the best alternative from the Pareto front.
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
粗糙环境下的多目标绿色混合车辆路径问题
本文提出了一种考虑不精确环境下企业自有车辆和第三方物流两种类型车辆的多目标绿色车辆路径问题。从可持续性的角度来看,只关注一个目标,特别是VRP中的距离并不总是正确的。在这里,我们提出了一个可以解决温室气体(GHGs)排放问题的G-VRP双目标模型。我们也认为需求是一个粗略的变量。本文采用非支配排序遗传算法II (NSGA-II)对该模型进行求解。最后,采用多准则优化和妥协解决(VIKOR)方法从Pareto前沿确定最佳方案。
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
Transport
Transport Engineering-Mechanical Engineering
CiteScore
3.40
自引率
5.90%
发文量
19
审稿时长
4 months
期刊介绍: At present, transport is one of the key branches playing a crucial role in the development of economy. Reliable and properly organized transport services are required for a professional performance of industry, construction and agriculture. The public mood and efficiency of work also largely depend on the valuable functions of a carefully chosen transport system. A steady increase in transportation is accompanied by growing demands for a higher quality of transport services and optimum efficiency of transport performance. Currently, joint efforts taken by the transport experts and governing institutions of the country are required to develop and enhance the performance of the national transport system conducting theoretical and empirical research. TRANSPORT is an international peer-reviewed journal covering main aspects of transport and providing a source of information for the engineer and the applied scientist. The journal TRANSPORT publishes articles in the fields of: transport policy; fundamentals of the transport system; technology for carrying passengers and freight using road, railway, inland waterways, sea and air transport; technology for multimodal transportation and logistics; loading technology; roads, railways; airports, ports, transport terminals; traffic safety and environment protection; design, manufacture and exploitation of motor vehicles; pipeline transport; transport energetics; fuels, lubricants and maintenance materials; teamwork of customs and transport; transport information technologies; transport economics and management; transport standards; transport educology and history, etc.
期刊最新文献
A NEW METHODOLOGY FOR TREATING PROBLEMS IN THE FIELD OF TRAFFIC SAFETY: CASE STUDY OF LIBYAN CITIES APPLYING REGULAR RELIEF ONTO CONICAL SURFACES OF CONTINUOUSLY VARIABLE TRANSMISSION TO ENHANCE ITS WEAR RESISTANCE SPATIAL PARTITION FOR HETEROGENEOUS CITY NETWORKS COMPOSED OF FACTORS THAT INFLUENCE THE DISTRIBUTION OF THE MACROSCOPIC FUNDAMENTAL DIAGRAM PANDEMIC IMPACT ON TRAFFIC TRENDS AND PATTERNS IN THE CITY OF BELGRADE AIRPORT PLANNING: APPROACHES TO DETERMINING THE PLANNING HORIZON
×
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:604180095
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