Applications of Advanced Mechatronics and Artificial Intelligence in Manufacturing: A Review

The adoption of Artificial Intelligence in manufacturing systems is causing a major change in manufacturing. In the Industry 4.0 environment, AI assists in data-driven decision-making, optimization of the processes in real-time, and automation. This paper analyses the use of AI in the manufacturing process highlighting the advantages, issues, and dangers in the actual industrial settings. The study adopts a qualitative research approach, which consists of industrial case studies and peer-reviewed journals. Some of the AI applications discussed in the review include predictive maintenance, quality control, process optimization, supply chain management and robotics. The findings suggest that the application of AI increases the operational efficiency, product quality, equipment reliability, and time-to-market. The research finds that in spite of the difficulties associated with the qualities of the data, system integration, high implementation costs, workforce skills, and model transparency, AI still has great potential in improving manufacturing in situations where such initiatives are backed up by suitable strategies, trained human resource, and standardized frameworks of integration.