Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence
Ping Long, Lin Lu, Qianlan Chen, Yifan Chen, Chaoling Li, Xiaochun Luo · 2023
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Description
Six researchers apply artificial intelligence to choosing how hospital supply chains should run, in a 2023 paper. Medical supply chains are costly and slow, and recent global shocks exposed their weak spots. The team weighs supply modes by economic, social, and environmental gains, then lets a learning system pick among them.
Their method uses deep reinforcement learning, where an agent learns choices by trial and reward. The framework first defines the candidate modes with AI support. Simulations then test the picker against simpler methods, including a basic rule method and a standard neural network. The AI choice matched the target mode, while the rival methods missed it. The authors recommend AI support for supply decisions in medical firms. They present the work as both a practical guide and a theory gain for the field.
Catalog record
| CREATOR | Ping Long, Lin Lu, Qianlan Chen, Yifan Chen, Chaoling Li, Xiaochun Luo |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |