The use of artificial intelligence in supply chain management: A bibliographic review

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.

Leveraging artificial intelligence for enhanced supply chain optimization

“…The inception of AI in SCM can be traced back to the early days of computerization, where rudimentary systems were employed to manage inventory and order processing. However, the real transformation began with the advent of the internet and the proliferation of digital technologies, which set the stage for the integration of more sophisticated AI applications in supply chains (Rickardo & Wites, 2023). The evolution from simple automation to complex AI-driven systems has been driven by the need for more efficient, responsive, and adaptable supply chains in the face of global competition and rapidly changing market demands.…”