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

Hou Ziyu (), Wang Fengyan (), Huang Huiliang (), Ronaldo Juanatas () and Jasmin Niguidula ()
Additional contact information
Hou Ziyu: Technology University Of The Philippines CIE
Wang Fengyan: Technology University Of The Philippines CIE
Huang Huiliang: Technology University Of The Philippines CIE
Ronaldo Juanatas: Technology University Of The Philippines CIE
Jasmin Niguidula: Technology University Of The Philippines CIE

A chapter in Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023), 2023, pp 726-731 from Springer

Abstract: 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.

Keywords: recycled metal raw materials; risk prevention and control; data-driven; risk management (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-344-3_79

Ordering information: This item can be ordered from
http://www.springer.com/9789464633443

DOI: 10.2991/978-94-6463-344-3_79

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().