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Control Strategy Research on Drugs Input in Intelligent Pharmacy Express Dispensing System

机译:智能药房快递分配系统中药物投入的控制策略研究

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In order to improve the working efficiency of drugs input in intelligent pharmacy express dispensing system, the route planning based on the improved genetic algorithms is proposed for express dispensing system with complicated boxed drugs and numerous storage space. This paper establishes a TSP problem model for drug input route planning, analyzes drug storage location information and drug prescription information, and performs simulation experiments on Matlab platform. The results show that the new strategy of drugs input can improve work efficiency greatly in comparison with the traditional modes. The time of storage is shortened, and the efficiency is increased from 11 percent to 48 percent.
机译:为了提高智能药房表达分配系统中药物投入的工作效率,提出了基于改进的遗传算法的路线规划,用于快速盒装药物和众多存储空间的快递系统。本文建立了用于药物输入路线规划的TSP问题模型,分析了药物存储位置信息和药物处方信息,对Matlab平台进行了模拟实验。结果表明,与传统模式相比,药物投入的新策略可以大大提高工作效率。储存时间缩短,效率从11%增加到48%。

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