考虑季节性需求的生鲜农产品配送路径优化研究  

Research on the Optimization of Fresh Produce Distribution Paths Considering Seasonal Demand

作　　者：黎楚莹 莫松霖 许晓君 袁涓 LI Chuying;MO Songlin;XU Xiaojun;YUAN Juan(School of Digital Economy and Management,Software Engineering Institute of Guangzhou,Guangzhou 510990,China)

机构地区：[1]广州软件学院数字经济与管理学院,广东广州510990

出　　处：《物流科技》2025年第6期51-55,59,共6页Logistics Sci Tech

基　　金：广东省教育厅普通高校青年创新人才类项目(2022WQNCX090);广东省“质量工程”建设项目专项人才培养计划(粤教高函[2023]4号);广东省高等教育教学研究和改革项目(粤教高函[2024]9号,1209);广州软件学院2023年质量工程项目(JYJG202303);广州软件学院校级科研项目(KY202432)。

摘　　要：随着生鲜农产品需求的持续上升,优化其配送路径变得愈加重要。文章从供需匹配的角度探讨了生鲜农产品配送路径的优化问题。首先,介绍了需求预测与路径优化的相关理论,并结合企业案例,采用居中移动平均法对季节性需求进行了分析和预测;其次,利用节约里程法对高峰期的配送路径进行了优化,以减少油耗和运输公里数。研究表明,需求预测与路径优化的组合拳能有效提高配送效率,降低成本,减少资源浪费和碳排放,促进企业实现降本增效。As the demand for fresh produce continues to rise,optimizing its distribution paths becomes more and more important.The paper discusses the distribution path optimization of fresh produce from the perspective of supply and demand matching.First,it introduces the relevant theories of demand forecasting and path optimization,and combines enterprise cases to analyze and predict the seasonal demand by using the centered moving average method.Second,the saving method is used to optimize the distribution path in the peak period in order to reduce the oil consumption and transportation kilometers.The result shows that the combination of demand forecasting and path optimization can effectively improve the distribution efficiency,reduce costs,minimze resource waste and carbon emissions,and promote enterprise cost reduction and efficiency improvement.

关 键 词：生鲜农产品 季节性需求 预测 路径优化 

分 类 号：F326.6[经济管理—产业经济]