基于生鲜占比的社区团购货物配送路径优化  

Optimization of Goods Delivery Routes for Community Group Buying Based on theProportion of Fresh Products

作　　者：杨睿 袁凯 宋冰 宫婧[1,2] 孙知信[1,2] YANG Rui;YUAN Kai;SONG Bing;GONG Jing;SUN Zhi-xin(School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210003;Post Industry Technology Research and Development Center of the State Posts Bureau(Internet of Things Technology),Nanjing University of Posts and Telecommunications,Nanjing 210003;Anhui Yougu Express Intelligent Technology Co.Ltd.,Wuhu 241399,China)

机构地区：[1]南京邮电大学现代邮政学院,江苏南京210003 [2]南京邮电大学国家邮政局邮政行业技术研发中心(物联网技术),江苏南京210003 [3]安徽邮谷快递智能科技有限公司,安徽芜湖241399

出　　处：《物流工程与管理》2024年第8期31-34,共4页Logistics Engineering and Management

摘　　要：针对社区团购配送过程中运往不同网格仓的货物中生鲜产品的比例不同,导致生鲜产品占比多的批次需要尽快送达的问题,建立了一种基于生鲜占比的社区团购货物配送路径规划模型,在考虑基础成本的前提下,根据不同目标节点的生鲜农产品占总货物类型的比例,为违反软时间窗约束的配送请求施加不同的惩罚,实现生鲜占比多的批次优先送达。同时,利用改进的模拟退火算法对模型进行实验仿真,验证了模型和改进算法的有效性。Aiming at the issue of varying proportions of fresh products in the goods delivered to different grid stations during community group buying,with batches containing a higher proportion of fresh products needing expedited delivery,a community group buying goods delivery route planning model based on the proportion of fresh products was established.Taking into account the basic costs,the model imposes different penalties on delivery requests that violate soft time window constraints,based on the proportion of fresh agricultural products at different target nodes relative to the total types of goods.This ensures priority delivery for batches with a higher proportion of fresh products.Additionally,an improved simulated annealing algorithm was utilized to experimentally simulate the model,confirming the effectiveness of both the model and the improved algorithm.

关 键 词：生鲜占比 社区团购 模拟退火算法 路径优化 

分 类 号：F252.1[经济管理—国民经济]