关于枢纽位置-路线模型及其解决技术的文献综述

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sebastian Wandelt, Shuang Wang, Xiaoqian Sun
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引用次数: 0

摘要

枢纽位置问题(HLPs)的主要目的是优化枢纽的位置和辐条的分配,以满足给定的需求,该问题已被研究了近四十年。由于每条辐条与其枢纽之间的专用分配连接可能会增加运营成本,并且无法充分利用车辆容量,尤其是在零担货运服务应用中,因此在过去十年中,研究人员对枢纽位置路由问题(HLRP)的兴趣与日俱增。HLRP 涉及一种更全面的方法,它同时考虑了设施位置和车辆路由方面,还优化了客户到这些枢纽的分配,并找到了从枢纽到客户的最佳路线,这使得 HLRP 比 HLP 更复杂,在现实世界的物流配送场景中更实用。在本文中,我们回顾了现有文献中提出的 HLRP 模型、已开发解决方案技术的共性和差异,尤其是关于现任解决方案和邻域变化的计算。我们相信,我们的研究将统一有关 HLRP 的相当分散的出版物,并为未来工作提出一系列有趣的方向,从而为现有文献做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A literature review on hub location-routing models and their solution techniques
Hub location problems (HLPs), which essentially aim at optimizing the location of hubs and the allocation of spokes to satisfy a given demand, have been studied over nearly four decades. Since dedicated allocation connections between each spoke and its hub may increase the operating cost and underutilize the vehicle capacity, especially in less-than-truckload freight service applications, the last ten years have witnessed an increasing interest of researchers in hub location routing problems (HLRPs). HLRPs involve a more comprehensive approach, by considering both facility location and vehicle routing aspects simultaneously, also optimizing the assignment of customers to these hubs and finding the best routes from hubs to customers, making HLRPs more complex and practical for real-world logistics and distribution scenarios than HLPs. In this paper, we review the HLRP models proposed in the existing literature, the commonalities and differences of developed solutions techniques, particularly concerning the computation of incumbent solutions and neighborhood changes. We believe that our study contributes to the existing literature, by unifying the rather scattered publication landscape on HLRPs and proposing a set of interesting directions for future work.
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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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