黑龙江科学2024,Vol.15Issue(24) :16-20,24.

时空数据驱动的生鲜配送中心资源优化配置方法研究

Research on Resource Optimization and Allocation Method for Fresh Delivery Centers Driven by Spatiotemporal Data

刘立亚 董硕 胡引翠
黑龙江科学2024,Vol.15Issue(24) :16-20,24.

时空数据驱动的生鲜配送中心资源优化配置方法研究

Research on Resource Optimization and Allocation Method for Fresh Delivery Centers Driven by Spatiotemporal Data

刘立亚 1董硕 2胡引翠2
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作者信息

  • 1. 河北省水文工程地质勘查院(河北省遥感中心),石家庄 050016
  • 2. 河北师范大学,石家庄 050024
  • 折叠

摘要

配送中心的空间布局是否合理直接关系到生鲜产品能否低成本高效率地送达终端客户,因此研究生鲜配送中心的资源优化配置具有重要意义.收集来自用户需求的大量数据,将这些具备时空特征的生鲜配送数据通过空间关联分析和时间序列动态演化,对现有生鲜配送中心资源的布局进行评价,根据终端客户的空间分布信息、各客户需求产品品类和数量的时间变化信息,采用时空建模方法对配送中心的选址进行优化,以石家庄市生鲜零售网点的数据为基础提出资源优化配置方法.

Abstract

The reasonable spatial layout of the distribution center directly affects whether fresh products can be delivered to end customers with low cost and high efficiency.Therefore,studying the resource optimization configuration of fresh distribution centers is of great significance.The study collects a large amount of data from user needs,evaluates the layout of existing fresh food distribution center resources through spatial correlation analysis and time series dynamic evolution,evaluates the fresh food distribution center resource layout,and optimizes the location of distribution centers with spatiotemporal modeling methods based on the spatial distribution information of end customers and the temporal change information of product categories and quantities required by each customer,and proposes a method for optimizing resource allocation through taking the data of fresh retail outlets in Shijiazhuang City as the research object.

关键词

时空数据/数据挖掘/聚类/时间序列/选址

Key words

Spatiotemporal data/Data mining/Clustering/Time series/Site selection

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出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
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