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

DOI

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/eee-19.2019.40
ID  - Zhang2019/07
ER  -