基于互补仓的轴辐式网络下生鲜农产品配送研究  

Research on Distribution of Fresh Agricultural Products under Hub-and-spoke Network Based on Complementary Warehouses

作　　者：习嘉睿 耿娜娜 卢阳 XI Jia-rui;GENG Na-na;LU Yang(School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210000,China)

机构地区：[1]南京邮电大学现代邮政学院,江苏南京210000

出　　处：《物流工程与管理》2024年第1期93-97,92,共6页Logistics Engineering and Management

基　　金：NY220214南京邮电大学自然基金孵化项目;NY219168南京邮电大学人才引进项目。

摘　　要：轴辐式网络因高灵活性和快速反应能力在现代快递行业中已被普遍使用,而其中各枢纽节点也是降低物流供应链环节相关成本的重心所在。当前生鲜农产品因易腐败性和新鲜度极度依赖冷链运输,每次配送不可避免地会造成部分商品损毁而无法销售食用。文中着重研究将轴辐式网络与生鲜农产品的配送相结合,并在中途节点间设立互补仓,利用鱼群算法确定各互补仓的最佳选址地点,从而尽可能降低货损率以及物流成本,以期为生鲜农产品的配送提供新的解决方案。Because of high flexibility and rapid response ability,hub-and-spoke networks have been widely used in the modern express industry,and their various hub nodes are also the focus of reducing costs related to logistics supply chain links.At present,fresh agricultural products are highly dependent on cold chain transportation due to their perishability and freshness,and each distribution inevitably leads to damage to some of the products,making them unusable for sale and consumption.This article focuses on the combination of hub-and-spoke networks and the distribution of fresh agricultural products,and the establishment of complementary warehouses between midway nodes.The fish school algorithm is used to determine the optimal location of each complementary warehouse,so as to minimize cargo damage rates and reduce logistics costs,with a view to providing new solutions for the distribution of fresh agricultural products.

关 键 词：生鲜农产品 轴辐式网络 互补仓 鱼群算法 物流选址 

分 类 号：F322[经济管理—产业经济]