复杂损耗成本生鲜物流运输路径优化研究  

Research on Optimization of Transportation Paths in Fresh Food Logistics with Complex Loss Costs

作　　者：曲智群 黄永生 QU Zhiqun;HUANG Yongsheng(College of Economics and Management,North China University of Science and Technology,Tangshan 063000,China)

机构地区：[1]华北理工大学经济管理学院,河北唐山063000

出　　处：《物流科技》2025年第2期151-155,共5页Logistics Sci Tech

基　　金：河北省教育厅社科重点项目;京津冀地区农产品物流资源管理与发展规划研究(SD191014)。

摘　　要：在更广泛载运的公路运输前提下,从多角度出发研究中国声线运输高损耗的原因,首次将振动损耗考虑到生鲜品运输成本优化问题中,构建以总成本最小为目标的生鲜品运输路径优化模型,并针对生鲜品运输的产品特殊性问题对蚁群算法进行改进,以提高收敛速度与精准,减少大重量目标路径运输时间,最后通过实际案例生鲜品运输公司的数据分析,表明改进算法极大提高了收敛速度与指定目标路径运输时长,并显著降低损耗成本,可见该模型与算法的有效性。Under the premise of road transport with wider carrying capacity,the paper studies the reasons of high loss in China's sound line transport from multiple perspectives.For the first time,we consider the vibration loss into the cost optimisation problem of fresh produce transport,construct the fresh produce transport path optimisation model with the goal of minimising the total cost,and improve Ant Colony Algorithm for the product-specific problems of fresh produce transport to improve the speed and accuracy of convergence,reduce transport time for large-weight target paths.Finally,through the data analysis of the actual case of fresh produce transport company,the results show that the improved algorithm greatly improves the convergence speed and the specified target path transport time,and significantly reduces the cost of loss,which can be seen in the effectiveness of the model and algorithm.

关 键 词：生鲜运输 车辆路径优化 振动损耗 蚁群算法 

分 类 号：F252[经济管理—国民经济] TP18[自动化与计算机技术—控制理论与控制工程]