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Community Medicine Distribution Route Planning Based on Ant Colony Algorithm

Authors :
Jing Cheng
Chengguo Shang
Jiaxin Wu
Chunyan Lu
Source :
2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

With the development of the times, our life and e-commerce links even more closely. The medical and health field has also seen the emergence of medical e-commerce, which makes it extremely easy for people to buy medicines and other activities, but the medical distribution problems that come with it are becoming more and more prominent. In order to solve the problem of the current high cost of medical distribution and circulation, this paper selects the most basic medical and health institution in China—the community is the starting point, and proposes the path planning of vehicle distribution based on the integration of community drug supply and demand information. The planned path can achieve the goal of reducing the total cost of distribution and improving the efficiency of medical logistics distribution.

Details

Database :
OpenAIRE
Journal :
2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
Accession number :
edsair.doi...........8ea40c69c12c9c177406697c90845384
Full Text :
https://doi.org/10.1109/mlbdbi48998.2019.00031