乡村振兴战略下低碳农产品物流配送路径优化  

Optimization of Low-carbon Agricultural Products Logistics Distribution Pathunder the Rural Revitalization Strategy

作　　者：王晓雅 李博[1] 党养性[1] 甘海波 WANG Xiaoya;LI Bo;DANG Yangxing;GAN Haibo(School of Economics and Trade,Yangling Vocational&Technical College,Yangling 712100,China;School of Chemical Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]杨凌职业技术学院,经济与贸易学院,陕西杨凌712100 [2]大连理工大学,化学工程学院,辽宁大连116024

出　　处：《微型电脑应用》2024年第8期29-32,共4页Microcomputer Applications

基　　金：陕西职业教育乡村振兴研究院2022年度研究课题(22ZD001);2021年陕西高等职业教育教学改革研究重点攻关项目(21GG001);杨凌职业技术学院2021年院内人文社科项目(SK21-27);杨凌职业技术学院2022年院内科技创新项目(ZK22-77)。

摘　　要：对如何降低乡村主要碳排放源之一的农产品物流进行研究,通过分析农产品配送作业环节产生二氧化碳和成本的因素,分别建立农产品配送物流碳排放模型和成本模型。采用基于自适应交叉变异的改进多目标粒子群算法对模型进行求解,并以周至县猕猴桃物流配送为例对算法进行验证。根据求解的Pareto优化结果得到农产品物流配送路径多种联合优化方案,即物流企业可以根据政府对碳排放量的限制以及自身经营目标选择合适的优化方案。How to reduce agricultural product logistics,one of the main carbon emission sources in rural areas.By analyzing the factors of carbon dioxide and cost in the process of agricultural product distribution,this paper establishes the carbon emission model and cost model of agricultural product distribution logistics respectively.The improved multi-objective particle swarm optimization algorithm based on adaptive cross mutation is used to solve the model,and the algorithm is verified by taking kiwi fruit logistics distribution in Zhouzhi County as an example.According to the Pareto optimization results,a variety of joint optimization schemes for the logistics distribution path of agricultural products are obtained,that is,logistics enterprises can choose the appropriate optimization scheme according to the government’s restrictions on carbon emissions and their own business objectives.

关 键 词：乡村振兴 低碳农产品物流 配送路径优化 改进多目标粒子群算法 

分 类 号：TB69[一般工业技术—制冷工程]