木材运输车辆路径问题的规划方法和决策支持系统综述

IF 2.1 3区 农林科学 Q2 FORESTRY International Journal of Forest Engineering Pub Date : 2022-12-10 DOI:10.1080/14942119.2022.2142367
J. Audy, M. Rönnqvist, S. D'Amours, Ala-Eddine Yahiaoui
{"title":"木材运输车辆路径问题的规划方法和决策支持系统综述","authors":"J. Audy, M. Rönnqvist, S. D'Amours, Ala-Eddine Yahiaoui","doi":"10.1080/14942119.2022.2142367","DOIUrl":null,"url":null,"abstract":"ABSTRACT In the forest industry, transportation accounts for a significant part of the operational costs. Reducing transportation costs through advanced planning and improved efficiency has motivated considerable research efforts. A substantial part of the research has been devoted to planning methodology and decision support systems development to solve large complex vehicle routing problems in forest timber or roundwood transportation. This paper reviews the scientific contributions to timber transportation vehicle routing planning methodologies and decision support systems used in case studies found in the literature. The challenges of their deployment are discussed and future research opportunities are presented. Vehicle routing problems in timber transportation differ from general vehicle routing problems in many aspects. This paper also describes the industrial context, in which various timber transportation vehicle routing problems (TTVRPs) are intrinsic. Several attributes are identified that characterize the TTVRPs, for which various planning and solution methodologies have been implemented.","PeriodicalId":55998,"journal":{"name":"International Journal of Forest Engineering","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Planning methods and decision support systems in vehicle routing problems for timber transportation: a review\",\"authors\":\"J. Audy, M. Rönnqvist, S. D'Amours, Ala-Eddine Yahiaoui\",\"doi\":\"10.1080/14942119.2022.2142367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT In the forest industry, transportation accounts for a significant part of the operational costs. Reducing transportation costs through advanced planning and improved efficiency has motivated considerable research efforts. A substantial part of the research has been devoted to planning methodology and decision support systems development to solve large complex vehicle routing problems in forest timber or roundwood transportation. This paper reviews the scientific contributions to timber transportation vehicle routing planning methodologies and decision support systems used in case studies found in the literature. The challenges of their deployment are discussed and future research opportunities are presented. Vehicle routing problems in timber transportation differ from general vehicle routing problems in many aspects. This paper also describes the industrial context, in which various timber transportation vehicle routing problems (TTVRPs) are intrinsic. Several attributes are identified that characterize the TTVRPs, for which various planning and solution methodologies have been implemented.\",\"PeriodicalId\":55998,\"journal\":{\"name\":\"International Journal of Forest Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Forest Engineering\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1080/14942119.2022.2142367\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Forest Engineering","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/14942119.2022.2142367","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 8

摘要

摘要在林业中,运输成本占运营成本的很大一部分。通过先进的规划和提高效率来降低运输成本,激发了大量的研究工作。该研究的很大一部分致力于规划方法和决策支持系统的开发,以解决森林木材或圆木运输中的大型复杂车辆路线问题。本文综述了文献中案例研究中使用的木材运输车辆路线规划方法和决策支持系统的科学贡献。讨论了它们部署的挑战,并提出了未来的研究机会。木材运输中的车辆路线问题在许多方面不同于一般车辆路线问题。本文还描述了工业背景,其中各种木材运输车辆路线问题(TTPRP)是内在的。确定了具有TTPRP特征的几个属性,并为其实施了各种规划和解决方案方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Planning methods and decision support systems in vehicle routing problems for timber transportation: a review
ABSTRACT In the forest industry, transportation accounts for a significant part of the operational costs. Reducing transportation costs through advanced planning and improved efficiency has motivated considerable research efforts. A substantial part of the research has been devoted to planning methodology and decision support systems development to solve large complex vehicle routing problems in forest timber or roundwood transportation. This paper reviews the scientific contributions to timber transportation vehicle routing planning methodologies and decision support systems used in case studies found in the literature. The challenges of their deployment are discussed and future research opportunities are presented. Vehicle routing problems in timber transportation differ from general vehicle routing problems in many aspects. This paper also describes the industrial context, in which various timber transportation vehicle routing problems (TTVRPs) are intrinsic. Several attributes are identified that characterize the TTVRPs, for which various planning and solution methodologies have been implemented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.70
自引率
21.10%
发文量
33
期刊最新文献
Productivity benchmarks for unguyed excavator-based tower yarders Novel approach for forest road maintenance using smartphone sensor data and deep learning methods Machine learning applications in forest and biomass supply chain management: a review Mechanical site preparation in South Africa: comparing the productivity of pitting machine operators under different site conditions Stem recovery and harvesting productivity of two different harvesting systems in final felling of Pinus patula
×
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