Abnormal evolution identification method of material supply chain node relationship based on deep learning-Reference-Cited by-同舟云学术

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Abnormal evolution identification method of material supply chain node relationship based on deep learning

Published:2024-06-05 Issue: Volume:50 Page:153
ISSN:
Container-title:Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)
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Author:

Tan Yunyan,Li Yuanyuan

Publisher

SPIE

Reference10 articles.

1. Investigating environmental and economic impacts of the 3D printing technology on supply chains: The case of tire production

2. An integrated material-financial risk-averse resilient supply chain model with a real-world application

3. Designing a closed-loop supply chain for reusable packaging materials: A risk-averse two-stage stochastic programming model using CVaR

4. Key Risk Node Identification Methods in New Energy Vehicle Supply Chain;Yang;Computer Scienc,2023

5. Design of multi⁃objective risk identification system for closed⁃loop supply chain considering time⁃delay uncertainty;Liu;Modern Electronics Technique,2023

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