The Application of Artificial Intelligence and Machine Learning in Manufacturing Industry: A Review

Abstract

The methods used for Artificial Intelligence (AI) in machine learning (ML) focuses on the machines' capacity to receive data series and learn independently. This research aims to analyze, systematically, the body of research on application of AI and ML in manufacturing industry. The examination was conducted utilizing existing published and accessible research studies.  Literature review was based on empirical ML and AI studies that have recently been published. Findings show that in order to prevent unexpected damage to equipment, manufacturers use predictive solutions. These AI-powered manufacturing company solutions are able to anticipate equipment failure before it causes damage. AI in manufacturing thereby impacts product quality and ensures revenue. Artificial Intelligence has the potential to be effective in producing, enhancing, and monetizing things. However, human ingenuity remains indispensable when handling unforeseen shifts in preferences and determining whether to produce something at all.