中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2016, Vol. 35 ›› Issue (4): 146-151.DOI: 10.3969/j.issn.1674-0696.2016.04.29

• 交通运输工程 • 上一篇    下一篇

基于eM-Plant的物流配送中心拣货作业优化研究

乐美龙,李艳艳   

  1. (上海海事大学 科学研究院,上海 201306)
  • 收稿日期:2014-12-10 修回日期:2015-03-23 出版日期:2016-08-20 发布日期:2016-08-20
  • 作者简介:第一作者:乐美龙(1964—),男,浙江宁波人,教授,博士,博士生导师,主要研究方向为交通运输与物流规划与管理。E-mail:lemeilong@126.com。
  • 基金资助:
    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)

Optimal Research of Order Picking for Logistics Center Based on eM-Plant

LE Meilong, LI Yanyan   

  1. (Scientific Research Academy, Shanghai Maritime University, Shanghai 201306,P.R. China)
  • Received:2014-12-10 Revised:2015-03-23 Online:2016-08-20 Published:2016-08-20

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eM-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。

关键词: 交通运输工程, 拣货, 物流配送, 仓库运作, 运作优化, eM-Plant

Abstract: 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 batching, 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.

Key words: traffic and transportation engineering;order picking, logistics distribution, warehouse operation, operational optimization, eM-Plant

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