Big Data analytics to alleviate risks in the supply chain

Natarajan Arjun
Additional contact information
Natarajan Arjun: Vice President, Mattel Toys, USA

Journal of Supply Chain Management, Logistics and Procurement, 2022, vol. 4, issue 4, 302-313

Abstract: Today, most supply chains are intricately connected both across enterprises and also across geographical locations. Therefore, any disruption at any point in the supply chain could potentially disrupt the entire chain. There are some factors that are within the control of the enterprise, and others that are external to the enterprise. This paper looks at various types of mitigation actions to alleviate supply chain disruption, including Big Data analytics.

Keywords: supply chain risk management strategies; resilience; machine learning; Big Data advanced analytics; descriptive analytics; diagnostic analytics; predictive analysis; prescriptive analysis (search for similar items in EconPapers)
JEL-codes: L23 M11 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hstalks.com/article/7117/download/ (application/pdf)
https://hstalks.com/article/7117/ (text/html)
Requires a paid subscription for full access.

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:aza:jscm00:y:2022:v:4:i:4:p:302-313

Access Statistics for this article

More articles in Journal of Supply Chain Management, Logistics and Procurement from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().