Estudo da aplicabilidade das inteligências artificiais em engenharia de produção no cenário brasileiro: uma revisão bibliográfica sistêmica

Abstract

Currently, companies and industries that wish to operate in the global market need to employ increasingly modern technological resources in their production processes. In view of this, production engineers are required to be prepared for the changes that have been taking place in the Industry 4.0 scenario and to have basic knowledge about the different emerging technologies, such as the most used artificial intelligence (AI). This work aims to present a systematic literature review (RBS) in order to identify which AI are most used in the Brazilian industrial scenario and the main advantages and disadvantages found in these academic researches. The results showed that the highlighted areas in the use of AI's are operations engineering and production processes and the supply chain, totaling 82.60% of the analyzed articles, with neural networks and machine learning being the most common types of AI's. used, constituting 69.55% of preferences in surveys. As main advantages, it was observed that AI's can offer support in decision making for managers, improvement and diagnosis of processes, more skillful methods for detecting failures, in addition to the integration and sharing of information. The disadvantages pointed out that there are still limitations in AI research, with changes in metrics, the need for large volumes of real and accurate historical data to validate the model, the main problems faced by researchers.