论文标题
大规模货物分配
Large-Scale Cargo Distribution
论文作者
论文摘要
这项研究着重于为大规模物流网络生成货物分销计划的设计和开发。它使用来自三个大型物流运算符的数据，同时使用一个大图专注于跨边界物流操作。 该方法使用三步方法来首先表示逻辑基础架构作为图形，然后将图表分为较小的区域，最后为每个区域生成货物分配计划。初始图表已通过光谱聚类从区域图中提取，然后进一步用于计算分布计划。 该方法介绍了每个建模步骤的方法。提出的关于使用大型物流基础架构的区域化来生成部分计划的方法，可以将扩展到数千个下降位置。结果还表明，所提出的方法比最先进的方法更好，同时保留解决方案的质量。 我们的方法适合解决将刚性大物流基础架构转变为动态，即时和点对点递送的物流操作的主要挑战。
This study focuses on the design and development of methods for generating cargo distribution plans for large-scale logistics networks. It uses data from three large logistics operators while focusing on cross border logistics operations using one large graph. The approach uses a three-step methodology to first represent the logistic infrastructure as a graph, then partition the graph into smaller size regions, and finally generate cargo distribution plans for each individual region. The initial graph representation has been extracted from regional graphs by spectral clustering and is then further used for computing the distribution plan. The approach introduces methods for each of the modelling steps. The proposed approach on using regionalization of large logistics infrastructure for generating partial plans, enables scaling to thousands of drop-off locations. Results also show that the proposed approach scales better than the state-of-the-art, while preserving the quality of the solution. Our methodology is suited to address the main challenge in transforming rigid large logistics infrastructure into dynamic, just-in-time, and point-to-point delivery-oriented logistics operations.
