The vehicle routing problem with transfers

IF 4.3 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Operations Research Pub Date : 2025-01-27 DOI:10.1016/j.cor.2025.106980
Maichel M. Aguayo , Francisco N. Avilés , Subhash C. Sarin , Claudia Archetti
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Abstract

In the vehicle routing problem (VRP), a fleet of capacitated vehicles serves a set of customers with known demands at minimum cost. The Split Delivery VRP (SDVRP), a variant of VRP, permits customer demands to be served by different vehicles, and thereby results in a significant cost reduction. In this paper, we study the VRP with transfers (VRP-T), where, as in the SDVRP, customers can be visited by multiple vehicles. However, differently from the SDVRP, customer locations can be used as transfer locations to exchange load among vehicles. We find that the routing costs can potentially be reduced by at most 50% by allowing such transfers in the VRP. We develop a two-index mixed-integer programming (MIP) model and heuristic algorithm based on Multi − start local search (MSLS). The solutions obtained by the MSLS are used as warm-start for the MIP and the corresponding approach is tested. Computational results indicate substantial savings in the costs incurred and the number of vehicles required when transfers are allowed. Results also suggest that transfers are at least as effective in reducing the cost as split delivery.
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车辆路线问题与转移
在车辆路径问题(VRP)中,一组有能力的车辆以最小的成本为一组已知需求的客户服务。拆分交付VRP (SDVRP)是VRP的一种变体,它允许不同的车辆来满足客户的需求,从而显著降低成本。在本文中,我们研究了带有传输的VRP (VRP- t),其中,与SDVRP中一样,客户可以由多个车辆访问。然而,与SDVRP不同的是,客户位置可以用作车辆之间交换负载的转移位置。我们发现,通过在VRP中允许这样的传输,路由成本可能最多减少50%。提出了一种基于多起点局部搜索(MSLS)的双索引混合整数规划(MIP)模型和启发式算法。将MSLS得到的解作为MIP的热启动,并对相应的方法进行了测试。计算结果表明,当允许转移时,所产生的费用和所需车辆的数量大大节省。结果还表明,在降低成本方面,转移支付至少与分拨支付一样有效。
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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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