基于异构数据融合的农产品物流节点优化布局方法

Optimization Layout Method of Agricultural Product Logistics Nodes Based on Heterogeneous Data Fusion

为缩短运输时间,文章提出基于异构数据融合的农产品物流节点优化布局方法。通过随机抽取物流节点并分析其特征属性,筛选农产品物流节点。融合异构数据并赋予节点权重,得到定量参数,利用双层规划法优化整体布局,实现运输效益最大化和农产品销售优化。实验结果表明,实验组的运输时间共221h,运输成本共28.4万元,可节省43 h和7.85万元,效率较高。

To reduce transportation time,a method for optimizing the layout of agricultural product logistics nodes based on heterogeneous data fusion is proposed.By randomly selecting logistics nodes and analyzing their characteristic attributes,a comprehensive evaluation of agricultural product logistics nodes can be conducted.By integrating heterogeneous data and assigning node weights,quantitative parameters can be obtained,and the overall optimization layout can be achieved using the bilevel programming method to maximize transportation efficiency and optimize agricultural product sales.The experimental results show that the transportation time of the experimental group was 221 h,and the transportation cost was 284000 yuan,which can save 43 h and 78500 yuan,with high efficiency.