The Impact of Artificial Intelligence on Manufacturing Processes
Keywords:
Artificial Intelligence (AI), Manufacturing ProcessesAbstract
In the industrial sector, a new age of efficiency, accuracy, and competitiveness has begun with the incorporation of Artificial Intelligence (AI) into production processes. This study examines the many ways in which AI has affected manufacturing and offers a complete framework for thinking about what that means. Beginning with a summary of relevant literature, this study traces the development and present status of AI in manufacturing. The article then explores the importance of artificial intelligence (AI) technologies like machine learning and deep learning in improving quality control and predictive maintenance throughout the industrial industry. Challenges and ethical issues are highlighted with the advantages of AI application, which include higher productivity, lower costs, and improved product quality. Successful AI implementation in industrial contexts is shown by real-world case studies, which provide useful insights and lessons gained. A workable framework for deploying AI in manufacturing is offered to enable enterprises wishing to capitalise on AI's potential. This framework includes data collecting, model building, deployment, and continual monitoring.
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