Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)

<Previous Article In Volume
Next Article In Volume>

Research on data-driven risk prevention and control system of recycled metal raw materials

Authors
Hou Ziyu1, Wang Fengyan1, *, Huang Huiliang1, Ronaldo Juanatas1, Jasmin Niguidula1
1Technology University Of The Philippines CIE, Manila, Philippines
*Corresponding author. Email: 76079296@qq.com
Corresponding Author
Wang Fengyan
Available Online 10 January 2024.
DOI
10.2991/978-94-6463-344-3_79How to use a DOI?
Keywords
recycled metal raw materials; risk prevention and control; data-driven; risk management
Abstract

the risk management of the supply chain of recycled metal raw materials is very important to ensure the sustainability of modern industry. However, the risks involved in the supply chain, such as supply chain interruption, price fluctuation and environmental sustainability, make the supply chain complex and diverse.The purpose of this study is to explore the construction and optimization of data-driven risk prevention and control system for recycled metal raw materials, and to deeply study the key steps of risk identification, evaluation, early warning and response, as well as the application of data-driven methods in this field. The research results highlight the importance of data-driven risk prevention and control, so as to improve the sustainability of supply chain, reduce enterprise risks and promote the sustainable development of recycled metal raw materials industry.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
10 January 2024
ISBN
978-94-6463-344-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-344-3_79How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hou Ziyu
AU  - Wang Fengyan
AU  - Huang Huiliang
AU  - Ronaldo Juanatas
AU  - Jasmin Niguidula
PY  - 2024
DA  - 2024/01/10
TI  - Research on data-driven risk prevention and control system of recycled metal raw materials
BT  - Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)
PB  - Atlantis Press
SP  - 726
EP  - 731
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-344-3_79
DO  - 10.2991/978-94-6463-344-3_79
ID  - Ziyu2024
ER  -