Multi-products Location-Routing Problem with Pickup and Delivery

Younes Rahmani, A. Oulamara, Wahiba Ramdane-Chérif
{"title":"Multi-products Location-Routing Problem with Pickup and Delivery","authors":"Younes Rahmani, A. Oulamara, Wahiba Ramdane-Chérif","doi":"10.5220/0004832804250433","DOIUrl":null,"url":null,"abstract":"An extended variant of Location-Routing Problem namely LRP with Multi-Product and Pickup and Delivery (LRPMPPD) is considered in this study. The proposed model deals with simultaneously selecting (locating) one or more facilities from a set of potential hub (locations), assigning customers to the selected hubs and defining routes of the vehicles for serving multi-product customers demand in such way that each selected hub must be visited once for delivering, though they can be visited many times for picking up. We propose a mixed integer linear programming formulation and a heuristic approach for this problem. Since there is not any instance compatible with LRP-MPPD in the literature, we have extended known LRP instances to evaluate the performance of the proposed approach. A comparison with CPLEX shows that the proposed algorithm is a viable approach to solve small and large size LRP-MPPD instances.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Advanced Logistics and Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0004832804250433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

An extended variant of Location-Routing Problem namely LRP with Multi-Product and Pickup and Delivery (LRPMPPD) is considered in this study. The proposed model deals with simultaneously selecting (locating) one or more facilities from a set of potential hub (locations), assigning customers to the selected hubs and defining routes of the vehicles for serving multi-product customers demand in such way that each selected hub must be visited once for delivering, though they can be visited many times for picking up. We propose a mixed integer linear programming formulation and a heuristic approach for this problem. Since there is not any instance compatible with LRP-MPPD in the literature, we have extended known LRP instances to evaluate the performance of the proposed approach. A comparison with CPLEX shows that the proposed algorithm is a viable approach to solve small and large size LRP-MPPD instances.
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
多产品位置路线问题的取货和派送
本文研究了定位路径问题的一个扩展变体,即多产品取货的LRP问题。所提出的模型同时处理从一组潜在的枢纽(地点)中选择(定位)一个或多个设施,将客户分配到所选的枢纽,并定义车辆的路线,以满足多种产品客户的需求,这样每个选定的枢纽必须访问一次以交付,尽管它们可以访问多次以取货。我们提出了一个混合整数线性规划公式和一种启发式方法。由于文献中没有任何实例与LRP- mppd兼容,我们扩展了已知的LRP实例来评估所提出方法的性能。与CPLEX算法的比较表明,该算法是求解小型和大型LRP-MPPD实例的可行方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Proposition of a communication system used in mobility by users with physical disabilities, focus on cerebral palsy with athetoid problems Route planning in a weakly dynamic undirected graph A new firm's organizational structure based on neurosciences: Neuro-organizational structure Intelligent path planning algorithm for autonomous robot based on recurrent neural networks A multi-scenario model for empty container repositioning under uncertain demand
×
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