Collaborative transportation for attended home deliveries

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Networks Pub Date : 2024-03-28 DOI:10.1002/net.22216
Steffen Elting, Jan Fabian Ehmke, Margaretha Gansterer
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Abstract

Attended home deliveries (AHDs) are characterized by dynamic customer acceptance and narrow customer-specific delivery time windows. Both impede efficient routing and thus make AHDs very costly. In this article, we explore how established horizontal collaborative transportation planning methods can be adapted to render AHDs more efficient. The general idea is to enable request reallocation between multiple collaborating carriers after the order capture phase. We use an established centralized reallocation framework that allows participating carriers to submit delivery requests for reallocation. We extend this framework for AHD specifics such as the dynamic arrival of customer requests and information about delivery time windows. Using realistic instances based on the city of Vienna, we quantify the collaboration savings by solving the underlying routing and reallocation problems. We show that narrow time windows can lower the savings obtainable by the reallocation by up to 15%. Therefore, we suggest enhancing the decision processes of request selection and request bundling using information about delivery time windows. Our findings demonstrate that adapting methods of request selection and bundle generation to environments with narrow time windows can increase collaboration savings by up to 25% and 35%, respectively in comparison to methods that work well only when no time windows are imposed.
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协作运输,提供上门接生服务
上门送货(AHD)的特点是动态的客户接受度和狭窄的客户特定送货时间窗口。这两点都阻碍了高效的路由选择,从而使上门送货的成本非常高。在本文中,我们将探讨如何调整已有的水平协作运输规划方法,以提高上门送货的效率。总体思路是在订单捕获阶段后,在多个协作承运商之间实现请求重新分配。我们使用已建立的集中重新分配框架,允许参与的承运商提交交付请求进行重新分配。我们针对 AHD 的具体情况(如客户请求的动态到达和有关交付时间窗口的信息)对这一框架进行了扩展。通过使用基于维也纳市的实际实例,我们量化了解决底层路由和重新分配问题所节省的协作成本。我们发现,狭窄的时间窗口会使重新分配节省的成本最多降低 15%。因此,我们建议利用有关交付时间窗口的信息来改进请求选择和请求捆绑的决策过程。我们的研究结果表明,与只在无时间窗口的情况下才有效的方法相比,在时间窗口较窄的环境下调整请求选择和捆绑生成的方法,可分别提高协作节省率高达 25% 和 35%。
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来源期刊
Networks
Networks 工程技术-计算机:硬件
CiteScore
4.40
自引率
9.50%
发文量
46
审稿时长
12 months
期刊介绍: Network problems are pervasive in our modern technological society, as witnessed by our reliance on physical networks that provide power, communication, and transportation. As well, a number of processes can be modeled using logical networks, as in the scheduling of interdependent tasks, the dating of archaeological artifacts, or the compilation of subroutines comprising a large computer program. Networks provide a common framework for posing and studying problems that often have wider applicability than their originating context. The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying out optimization on networks. The nonstandard modeling of diverse processes using networks and network concepts is also of interest. Consequently, the disciplines that are useful in studying networks are varied, including applied mathematics, operations research, computer science, discrete mathematics, and economics. Networks publishes material on the analytic modeling of problems using networks, the mathematical analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. We do not typically publish works that fall in the realm of pure graph theory (without significant algorithmic and modeling contributions) or papers that deal with engineering aspects of network design. Since the audience for this journal is then necessarily broad, articles that impact multiple application areas or that creatively use new or existing methodologies are especially appropriate. We seek to publish original, well-written research papers that make a substantive contribution to the knowledge base. In addition, tutorial and survey articles are welcomed. All manuscripts are carefully refereed.
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