The use of artificial intelligence in supply chain management: A bibliographic review
1 Department of the Euvaldo Lodi Institute (IEL), and Postgraduate Department of the Farias Brito University Center (FBUNI), Fortaleza, Ceará, Brazil. https://orcid.org/0000-0001-6101-9571.
2 Supply Management from Euvaldo Lodi Institute (IEL), Fortaleza, Ceará, Brazil.
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(02), 028–033
Publication history:
Received on 23 March 2023; revised on 30 April 2023; accepted on 02 May 2023
Abstract:
The tools and production processes are constantly evolving. Initiated by the Industrial Revolution, the mechanization of the production line is undergoing a process of simple automation to perform tasks on their own. Before, machines only performed the most repetitive and heavy tasks. Today, through Machine Learning, they can even make quick, precise, and safe decisions about the best sequence for the production line of a particular product or service. For the elaboration of this article, a qualitative approach was used as a methodological basis, and the investigation procedure adopted was the development of a bibliographic review. The general objective of this research is to investigate how Artificial Intelligence (AI) can optimize the processes of the supply chain. This study indicates that the use of AI is increasingly becoming an irreversible path, as companies depend on profitability and less waste to survive, in addition to more agility and accuracy. All these advantages, combined with the lowest possible production cost, favor the permanence of AI among companies and society as a whole.
Keywords:
Industrial Revolution; Machine Learning; Artificial Intelligence; Supply Chain
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0