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快消品电子商务仓储订单批次问题研究

罗晓萌1,夏雪垠2,李建斌2   

  1. 1.西南财经大学工商管理学院,成都 611130;2.华中科技大学管理学院,武汉  430074
  • 出版日期:2016-06-25 发布日期:2016-07-04

罗晓萌,夏雪垠,李建斌. 快消品电子商务仓储订单批次问题研究[J]. 系统科学与数学, 2016, 36(6): 847-859.

LUO Xiaomeng,XIA Xueyin,LI Jianbin. PICKING WAVE GENERATION OPTIMIZATION STRATEGIES IN B2C WAREHOUSE OF FAST MOVING CONSUMER GOODS[J]. Journal of Systems Science and Mathematical Sciences, 2016, 36(6): 847-859.

PICKING WAVE GENERATION OPTIMIZATION STRATEGIES IN B2C WAREHOUSE OF FAST MOVING CONSUMER GOODS

LUO Xiaomeng1 ,XIA Xueyin2 ,LI Jianbin2   

  1. 1.School of Business Administration,Southwestern University of Finance and Economics, Chengdu  611130;2.School of Management, Huazhong University of Science  and Technology, Wuhan  430074
  • Online:2016-06-25 Published:2016-07-04

快消品仓库运营中, 为了提高作业效率一般将多个顾客订单组合成批次后拣货, 因此仓库的运营效率很大程度上取决于订单批次生成策略. 基于重合优化准则, 建立0-1整数规划模型对订单进行批次生成, 并采用通道重合数为相似系数的 `` 静态法'' 求解, 模拟运行的结果比按订单先进先出原则进行批次生成拣货通道数减少26.5\%. 进一步选取最长订单作为标杆, 并采用通道重合率作为相似系数, 引入动态更新概念, 权衡优化效果与计算时间, 模拟运行的结果比按先进先出原则进行批次生成的批次数和通道数分别减少26.7\%和34.3\%. 上述方法已实际应用于某大型网上超市, 拣货效率提升显著.

In fast moving consumer goods (FMCG) warehouse operation, a set of orders will be grouped into a number of subsets, then each of which is finished by a single picking tour. Hence, the improvement of the warehouse operation efficiency mainly rest with the optimization criteria of the picking wave compositions. In this paper, we propose a 0-1 integer optimization model based on the coincidence optimization principle. The solution of our proposed model is obtained by adopting a static clustering algorithm with channel coincidence numbers as the similarity coefficient, of which a 26.5\% decreasing in the number of channels can be achieved compared with the wave compositions based on delivery order generation time FIFO principle. Furthermore, we select the delivery order contains the most SKUs as the seed, and both take into account the balance of optimization effects and calculating time. By using channel coincidence rate as the similarity coefficient and introducing dynamic update, a cut of 26.5\% in the number of waves and 34.3\% in the number of channels can be achieved compared with FIFO principle. The latter one has already been applied to a large online supermarket, and has shown significant effects.

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