Análise de aplicações da inteligência artificial na armazenagem de materiais: um estudo bibliográfico

Abstract

This study aimed to analyze ten publications that portray the application of artificial intelligence in material storage. The conceptual bibliographic method was used in its four stages: a) formulation of primary and accessory research questions, b) data collection in scientific databases, c) analysis and organization of the collected data, and d) generation and interpretation of the answers to the formulated research questions. The results showed that the goals of the studies focused on problematic situations that can be considered complex, the methods of the studies consisted of numerous techniques and procedures, the artificial intelligence tools applied in the studies were varied and in large quantity, and the results and conclusions of the studies show that artificial intelligence is a technology that can effectively solve problems and help to overcome storage challenges. The conclusion points out that the more complex the problem or challenge to be faced, the greater the effectiveness of artificial intelligence in solving or helping to overcome it. The study's main contribution to science highlights the need for logistics and storage professionals to know and know how to apply artificial intelligence in logistics practice.