Control Strategy Research on Drugs Input in Intelligent Pharmacy Express Dispensing System
Da-zhi Zhang, Jun-feng Cui
Available Online July 2019.
- https://doi.org/10.2991/eee-19.2019.40How to use a DOI?
- Express dispensing system, Genetic algorithm, Route planning, Intelligent pharmacy
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Da-zhi Zhang AU - Jun-feng Cui PY - 2019/07 DA - 2019/07 TI - Control Strategy Research on Drugs Input in Intelligent Pharmacy Express Dispensing System BT - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019) PB - Atlantis Press SP - 249 EP - 255 SN - 2352-5401 UR - https://doi.org/10.2991/eee-19.2019.40 DO - https://doi.org/10.2991/eee-19.2019.40 ID - Zhang2019/07 ER -