Back to Search
Start Over
Community Medicine Distribution Route Planning Based on Ant Colony Algorithm
- 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.
- Subjects :
- 0209 industrial biotechnology
Operations research
business.industry
Total cost
Computer science
Ant colony optimization algorithms
Distribution (economics)
02 engineering and technology
Discount points
Field (computer science)
020901 industrial engineering & automation
Order (business)
Path (graph theory)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
Subjects
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