Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review
Hieu Bui Trong and
Uyen Bui Thi Kim
Additional contact information
Hieu Bui Trong: Ho Chi Minh City University of Transport, Vietnam
Uyen Bui Thi Kim: College of Foreign Economic Relations (Cofer), Vietnam
European Journal of Engineering and Technology Research, 2020, vol. 5, issue 12, 19-23
Abstract:
It is wide known that the world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future. One of the most prominent of these technologies (including Block Chain, Internet of Things, Cloud Computing, Big Data, etc.) is Artificial Intelligence (AI), was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. However, its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). The purpose of this work is to identify the contributions of AI to SCM through a brief review of the existing literature. Besides, this paper reviews the past record of success in AI applications to SCM and identifies the most subfields of SCM in which to apply AI.
Keywords: Artificial Intelligence; Supply Chain Management; Literature Review; Overview (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/62254 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/62254/12562 Full text (application/pdf)
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:epw:ejeng0:v:5:y:2020:i:12:id:62254
DOI: 10.24018/ejeng.2020.5.12.2254
Access Statistics for this article
More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().