引用本文:王晨,尹静,王红春.基于分拣机器人零售电商订单动态聚类及仿真[J].包装工程,2020,41(3):170-175.
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 2289次   下载 1278 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于分拣机器人零售电商订单动态聚类及仿真
王晨1, 尹静1, 王红春2
1.北京建筑大学 a.机电与车辆工程学院,北京 102616;2.北京建筑大学 b.经济管理学院,北京 102616
摘要:
目的 提高电商物流配送中心订单的分拣效率和动态响应能力。方法 通过分析零售电商订单的多品种、小批量和高时效等特征,考虑分拣机器人动作与载重约束,提出了滚动时窗调度策略和高维稀疏动态聚类算法,并以某大型电商企业配送中心建立仿真实验模型,进行数据对比分析。结果 以某大型电商某日高峰时段500个订单进行仿真实验,与固定组批分拣策略进行对比,优化后的分拣策略在机器人平均搬运距离上减少了66.9%,分拣时间降低了23.9%。结论 高维稀疏动态聚类策略有效提高了分拣效率,降低了分拣成本,算法方式更加开放灵活,对于电商企业物流业务降本增效具有重要意义。
关键词:  电商物流订单  分拣机器人  动态聚类  分拣策略  仿真
DOI:10.19554/j.cnki.1001-3563.2020.03.026
分类号:TB486;TH691.5
基金项目:国家自然科学基金(61772062)
Dynamic Clustering and Simulation of Retail E-commerce Order Based on Sorting Robot
WANG Chen1, YIN Jing1, WANG Hong-chun2
1.a.School of Mechanical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;2.b.School of Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Abstract:
The work aims to improve the sorting efficiency and dynamic response capability of orders for e-commerce logistics distribution centers. Based on analyzing such factors as the characteristics of retail e-commerce orders with multiple varieties, small batches and high aging, movement and load constraints of sorting robots were taken into consideration; a rolling window scheduling strategy and a high-dimensional sparse dynamic clustering algorithm were proposed, and a simulation experiment model of a large-scale e-commerce distribution center was established for data comparison analysis. The simulation experiment was carried out on 500 orders of an e-commerce enterprise in rush hours. Compared with the fixed batch sorting strategy, the optimized sorting strategy reduced the average moving distance of the robot by 66.9% and the sorting time by 23.9%. The conclusion is that the high-dimensional sparse dynamic clustering strategy effectively improves the sorting efficiency, reduces the sorting cost, and the algorithm is more open and flexible. It is of great significance for the e-commerce enterprise to reduce costs and increase efficiency of logistics business.
Key words:  E-commerce logistics  high-dimensional sparse clustering  sorting robot  sorting strategy  simulation

关于我们 | 联系我们 | 投诉建议 | 隐私保护

您是第24463916位访问者    渝ICP备15012534号-2

版权所有:《包装工程》编辑部 2014 All Rights Reserved

邮编:400039 电话:023—68792836传真:023—68792396 Email: designartj@126.com

    

  
 

渝公网安备 50010702501717号