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考虑时间窗与新鲜度损耗的社区团购生鲜产品配送路径优化研究 被引量:3

Study on Distribution Path Optimization of Fresh Products in Community Group Purchase Considering Time Window and Freshness Loss
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摘要 随着社区团购交易规模日益增加,配送中存在的损耗高、满意率低等问题也逐渐显露出来,生鲜产品作为社区团购配送中的主要产品,对时间和货物品质有着更高的要求。因此,文章在时间窗约束下,以总成本最小为目标,构建了考虑时间窗与新鲜度损耗的社区团购生鲜产品配送路径优化模型,设计并改进遗传算法,使用Matlab进行求解,通过算例验证了模型的有效性与改进算法的优势,提高了社区团购生鲜产品配送效率,为社区团购电商企业配送服务提供了理论指导。 With the increasing scale of community group purchase transactions,the problems of high loss and low satisfaction rate in distribution have gradually emerged.Fresh products,as the main products in community group purchase distribution,have higher requirements on time and quality of goods in time window constraints,therefore in this paper,the minimum total cost as the goal,is established considering the time window and the loss of freshness and community group purchase fresh product distribution route optimization model,designed and improved genetic algorithm,using Matlab to solve,and the validity of the model is verified by numerical examples and the advantage of the improved algorithm,improve the efficiency of a community group purchase fresh products distribution,for the community the distribution service of purchasing e-commerce enterprises provides theoretical guidance.
作者 陈涛 康世宁 CHEN Tao;KANG Shining(Evergrande School of Management,Wuhan University of Science and Technology,Wuhan 430065,China)
出处 《物流科技》 2022年第11期22-26,共5页 Logistics Sci-Tech
基金 湖北省科技支撑计划软科学重点项目(2015BDF006) 全国教育科学2017年度国家社科课题项目(BIA170192) 湖北产业政策与管理研究中心2016-17年度开放基金重点课题项目(17CYZ01)。
关键词 社区团购 新鲜度损耗 时间窗 路径优化 改进遗传算法 community group purchase freshness loss time window path optimization improved genetic algorithm
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