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作 者:马云峰[1,2] 邓力 余佳祥 MA Yunfeng;DENG Li;YU Jiaxiang(School of Management,Wuhan University of Science and Technology,Wuhan 430065,China;Service Science and Engineering Research Center of Wuhan University of Science and Technology,Wuhan 430065,China;Hubei Port Group Co.,Ltd.,Wuhan 430065,China;Wuhan Institute of Modern Logistics Research Co.,Ltd.,Wuhan 430065,China)
机构地区:[1]武汉科技大学管理学院,湖北武汉430065 [2]武汉科技大学服务科学与工程研究中心,湖北武汉430065 [3]湖北港口集团有限公司,湖北武汉430065 [4]武汉现代物流研究院有限公司,湖北武汉430065
出 处:《物流科技》2024年第22期1-7,共7页Logistics Sci Tech
基 金:教育部人文社会科学项目(19YJA630054);武汉科技大学资助项目智慧物流数字运营平台开发研究(2022H20537)。
摘 要:作为电商仓库作业中耗时最长、成本最高的环节,订单拣选的作业效率一直是仓库管理中的关键问题。文章针对拣选策略选择问题,选择Perfect Pick系统的电商仓库作为背景,对单个拣选台进行研究,提出订单分批和订单排序两种拣选策略并进行对比分析;以货箱搬运次数最少为目标,分别构建订单分批与订单排序两种拣选策略的整数规划模型,并设计贪婪算法进行求解。通过数值实验验证,订单排序策略在所有订单规模中均优于订单分批策略,根据仓库的订单规模,合理设置拣选台最大容量并选择合理的拣选策略,能够更好地提高拣选效率、优化仓库作业环节。Order picking is the longest and the most expensive part in the e-commerce warehouse operation,and its operation efficiency has always been a key issue in the warehouse.Addressing the selection of picking strategies,taking the e-commerce warehouse equipped with the Perfect Pick system as the background,this paper conducts a research on a single picking platform,provides two picking strategies,including order batching and order sequencing,and compares and analyzes them.In order to minimize the number of container handling,integer programming models of order batching and order sequencing are constructed respectively,and the greedy algorithm is designed to solve them.Through the numerical experiment,it is verified that the order sequencing strategy is superior to the order batching strategy in all order sizes.Setting the maximum capacity of the picking table reasonably according to the order size of the warehouse and choosing a reasonable picking strategy can better improve the picking efficiency and optimize the warehouse operation.
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