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A capacitated hub location problem in freight logistics multimodal networks

机译:货运物流多式联运网络中的能力枢纽位置问题

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In this paper we deal with a capacitated hub location problem arising in a freight logistics context; in particular, we have the need of locating logistics platforms for containers travelling via road and rail. The problem is modelled on a weighed multimodal network. We give a mixed integer linear programming model for the problem, having the goal of minimizing the location and shipping costs. The proposed formulation presents some novel features for modelling capacity bounds that are given both for the candidate hub nodes and the arcs incident to them; further, the containerised origin-destination ( demand can be split among several platforms and different travelling modes. Note that here the network is not fully connected and only one hub for each pair is used, serving both to consolidate consignments on less transport connections and as reloading point for a modal change. Results of an extensive computational experimentation performed with randomly generated instances of different size and capacity values are reported. In the test bed designed to validate the proposed model all the instances up to 135 nodes and 20 candidate hubs are optimally solved in few seconds by the commercial solver CPLEX 12.5.
机译:在本文中,我们处理了货运物流环境中出现的人为限制的枢纽位置问题;特别是,我们需要为通过公路和铁路运输的集装箱找到物流平台。该问题以加权多模式网络为模型。我们为该问题提供了一个混合整数线性规划模型,其目标是最大程度地减少位置和运输成本。提议的公式提出了一些新的功能,用于建模能力边界,这些能力边界既针对候选集线器节点给出,也针对入射到它们的弧线给出。此外,集装箱起运地-目的地(需求可以在多个平台和不同的出行方式之间进行划分。请注意,这里的网络未完全连接,每对仅使用一个集线器,既可以在较少的运输连接上合并托运货物,又可以报告了使用不同大小和容量值的随机生成实例进行的广泛计算实验的结果,在设计用于验证所提出模型的测试台上,优化了最多135个节点和20个候选集线器的所有实例由商业求解器CPLEX 12.5在几秒钟内完成求解。

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