Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

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

Authors
Da-zhi Zhang, Jun-feng Cui
Corresponding Author
Da-zhi Zhang
Available Online July 2019.
DOI
https://doi.org/10.2991/eee-19.2019.40How to use a DOI?
Keywords
Express dispensing system, Genetic algorithm, Route planning, Intelligent pharmacy
Abstract
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.

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Proceedings
2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Part of series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/eee-19.2019.40How to use a DOI?
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  -