医药物流中心人工拣选作业流程优化及仿真

    Optimization of Manual Picking at Medicine Logistics Center

    • 摘要: 费用高、利润低已经成为制约我国医药物流行业发展的主要瓶颈。因此,研究降低医药物流中心人工拣选占有成本的方法对企业赢利具有重要价值。在对物流中心拣选作业流程及其影响因素分析的基础上,建立了基础模型,分别对巷道数不同拣选条目数相同及巷道数不同拣选条目数不同两种情形采用MATLAB进行了仿真,探讨了分区数与拣选条数之间的关系,并对拣选路径进行了分析,发现:1) 分区优于不分区,一般情况下,分区以2个为宜;2) 当分区超过2个后,拣选时间会逐渐增加;3) 在巷道数和拣选条目一定的情况下,分区越多越好;4) 在巷道超过96时,可以考虑分成3个拆零区。

       

      Abstract: As high costs and low profits have become a major bottleneck of the development of Chinas medicine logistics industry, research on the methods of manually picking cost for medical logistics center is beneficial to corporate profitability. A basic model is presented based on analysis of influencing factors for picking process of logistics centers. The relationship between roadway number and number of zones is studied using MATLAB simulation. The result shows that: (1) having partitions is better than having no partitions, and that under normal circumstances, having two partitions is the best; (2) with more than two partitions, picking time will gradually increase; (3) in the case of fixed number of roadways and selection entries, more partitions will be better; (4) when there are more than 96 selection entries, having three partitions is the best choice.

       

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