摘要
为了减少仓库拣货行走时间和提高拣货效率,以某配送仓库为背景,运用e M-Plant仿真工具,建立拣选作业仿真模型,分别对存储策略、拣货单分批方式、路径选择及拣货分区策略进行研究。在存储策略上,考虑货品之间的关联性,运用weka关联分析挖掘出货物之间的关联性。在拣货单分批方式上,依次研究基于拣货单数合并和拣货行数合并两种分批方式。仿真结果表明:5~8张拣货单合并和50订单行合并均为最佳订单分批方式。在路径选择上,分别研究了Z字形、“8”字形和新中点路径策略。计算结果表明:新中点拣货路径选取策略最佳。在拣货分区策略上,用按工作量动态分区的方案有效降低了拣货员的等待时间,增加协同性。提出的方法已应用于某配送仓库的实际运作中。
In order to reduce the walking time and improve the efficiency of picking, the simulation environment and model were established in the context of a real logistics center and on the platform of eM-Plant. On this basis, actual data of a warehouse distribution center was used for the study of storage strategy; order hatching, routing planning and zone order picking strategy. On the storage strategy, the correlation between materials was taken into account and the software WEKA was used for this purpose. On the way of order batching, two combination methods, based on the order number and based on the item number, were taken into consideration. The simulation result shows that five to eight orders combination way or 50 order items combination way is the best method of order batching. On the routing planning strategy, Z glyph, "8" glyph and new middle path strategy were studied respectively. The results suggest that the new midpoint path strategy is the first choice. On the zoning strategy, the use of dynamic partitioning according to the workload can effectively reduce the waiting time of workers and also increase the collaborative. The proposed methods have applied to a distribution warehouse in practical operation.
出处
《重庆交通大学学报(自然科学版)》
CAS
北大核心
2016年第4期146-151,共6页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家自然科学基金项目(71171129)
上海市自然科学基金创新行动项目(10190502500)
关键词
交通运输工程
拣货
物流配送
仓库运作
运作优化
e
M-Plant
traffic and transportation engineering
order picking
logistics distribution
warehouse operation
operational optimization
eM-Plant