Study of the applicability of artificial intelligence in production engineering within the brazilian scenario
a systematic literature review
DOI:
https://doi.org/10.14488/1676-1901.v26i3.4942Keywords:
Artificial intelligence, Production engineering, Industry 4.0Abstract
Currently, companies and industries aiming to operate in the global market need to employ increasingly modern technological resources in their production processes. Therefore, production engineers are required to be prepared for the changes occurring in the Industry 4.0 landscape and to possess basic knowledge of various emerging technologies, such as the most commonly used artificial intelligences (AI). This work aims to present a Systematic Literature Review (SBR) to identify which AIs are most frequently employed in the Brazilian industrial scenario and the main advantages and disadvantages found in these academic studies. The results indicated that the prominent areas for AI utilization are operations and production processes engineering and the supply chain, accounting for 82.60% of the analyzed articles. Neural networks and machine learning were identified as the most used AI types, constituting 69.55% of the preferences in the research. As for the main advantages, it was observed that AIs can offer decision-making support for managers, process improvement and diagnosis, more skillful methods for fault detection, in addition to information integration and sharing. The disadvantages, however, highlighted that limitations still exist in research on AIs, with metric changes and the need for large volumes of real and precise historical data to validate the model being the main problems faced by researchers.
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