考虑货损及碳排放因素的电动汽车生鲜配送路径优化  

Optimization of Fresh Delivery Path for Electric Vehicles Under Freight Damage and Carbon Emissions

作　　者：杨芳 李迎 朱予曦 张启迪 YANG Fang;LI Ying;ZHU Yuxi;ZHANG Qidi(School of Economics and Management,Changsha University,Changsha Hunan 410022,China)

机构地区：[1]长沙学院经济与管理学院,湖南长沙410022

出　　处：《长沙大学学报》2024年第5期45-52,共8页Journal of Changsha University

基　　金：湖南省社会科学成果评审委员会课题“‘双碳’目标下湖南省物流业绿色转型发展路径及对策研究”(XSP2023JJC011);湖南省教育厅研究重点项目“生鲜农产品供应链质量协同控制及运行机制研究”(21A0547);湖南省大学生研究性学习和创新性实验计划项目“‘双碳’背景下生鲜农产品冷链配送路径优化问题研究”(S202311077031)。

摘　　要：生鲜冷链配送具有产品易质变、碳排放高等特点,电动汽车载具能在一定程度上降低物流过程的碳排放,但其电能消耗和保养维修仍存在碳排放影响。为减少电动汽车生鲜冷链配送过程中的价值损耗和碳排放量,对生鲜冷链配送货损因素、电动汽车电能消耗和保养碳排放因素进行细化分析。构建了考虑运输、制冷、货损、碳排放及时间惩罚成本的配送成本最小化模型,利用遗传算法求解最优配送路径,并通过MATLAB仿真验证。此优化模型为降低配送与碳排放成本提供思路,有利于物流企业提供更好的电动汽车生鲜冷链配送服务。Fresh cold chain delivery has the characteristics of easily deterioration and high carbon emissions.Electric vehicles address the carbon emissions in the logistics process to some extent,however their electricity consumption and maintenance still have carbon emission impacts.To reduce the value loss and carbon emissions during the fresh and cold chain distribution process of electric vehicles,a detailed analysis is conducted on the factors of goods damage in fresh and cold chain distribution,electric vehicle energy consumption,and maintenance carbon emissions.A distribution cost minimization model considering transportation,refrigeration,cargo damage,carbon emissions,and time penalty costs is constructed.The optimal distribution path is found out using genetic algorithm and verified through MATLAB simulation.The optimization model provides ideas for reducing distribution and carbon emission costs,which is beneficial for logistics enterprises to provide better electric vehicle fresh cold chain distribution services.

关 键 词：货损 碳排放 电动汽车生鲜配送 路径优化 

分 类 号：F252[经济管理—国民经济]