摘要
针对城市客户订单需求差异性,应用改进的凝聚型层次聚类算法计算客户订单属性相似度,以此为据提出了客户分组方法,并进行物流配送线路设计。对某物流配送中心的车辆调度问题进行分析计算,结果表明,基于分组策略的配送方案能够有效降低运输成本,并提高配送的准时性。
In this paper, in view of the difference between customer orders, we used the improved hierarchical agglomerative clustering algorithm to calculate the attribute likeliness of the customer orders, then accordingly proposed the customer grouping method and proceeded to design the logistics distribution route. Next, we analyzed and calculated the vehicle scheduling problem of a certain logistics distribution center to prove the validity of the distribution plan based on the group strategy.
出处
《物流技术》
2015年第17期131-133,共3页
Logistics Technology
基金
国家自然科学基金"重大"项目课题"多式联运物流运营管理"(71390332)
