基于交通路网拓扑的协同供给运输优化

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Aihui Wang, Xiaobo Han, Wudai Liao, Ping Liu, Jingwen Song, Daming Li
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引用次数: 0

摘要

随着中国经济的快速发展,企业需要提前合理规划物流运输路线。这将提高运输服务的效率。针对供应商的运输服务问题,提出了一种关键路径节点的分析方法,并设计了一种多供应商协同运输策略。首先,建立了运输成本最小化模型,然后模拟了路径图,并基于k最短路径算法计算了供应商的最优和替代运输路径。此外,本文还以新冠肺炎期间的路径节点可用性为研究背景。通过讨论关键路径节点的不同情况,提出了一种多阶段路径分析方法,可以及时有效地合理选择路径。最后,在三个场景中对供应商的协同运输进行了仿真,结果验证了协同运输策略的有效性。本文提出的供应商协同运输策略不仅加强了供应商之间的协同合作,而且为供应商培养了潜在的客户。此外,该战略可以提高供应链的灵活性,最大限度地提高整体效率,并为物流和运输服务的发展提供新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimisation of collaborative supply transportation based on traffic road network topology

Optimisation of collaborative supply transportation based on traffic road network topology

With the rapid development of China's economy, enterprises need to plan their logistics transportation routes reasonably in advance. This will make the transportation service more efficient. For the supplier's transportation service problem, an analysis method of critical path nodes is provided and a multi-supplier collaborative transportation strategy is designed in this article. First, a model for minimising the transportation cost was established, then a path diagram was simulated and the optimal and alternative transportation paths of suppliers based on the k-shortest path algorithm were calculated. In addition, path node availability during COVID-19 is used as a research context in this article. A multi-stage path analysis method was provided by discussing different cases of critical path nodes, which can make a reasonable selection of paths in a timely and effective manner. Finally, simulations of collaborative transportation for suppliers were performed in three scenarios and the results verified the effectiveness of the collaborative transportation strategy. The proposed collaborative transportation strategy of suppliers not only strengthened the synergistic cooperation among suppliers, but also cultivated the potential customer for suppliers in this article. Furthermore, the strategy could improve the flexibility of the supply chain, maximise the overall efficiency and also provide a new solution for the development of logistics and transportation services.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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