Artificial Intelligence in Modern Manufacturing: Opportunities and Barriers

Abstract

The manufacturing sector is being transformed by Artificial Intelligence (AI) which brings in smart automation, data making decisions, and act as real time adapt. This review will dive into the fundamental technologies that give AI its foundation, including; machine learning, computer vision and robotics, and the role they play in predictive maintenance, quality control, process optimization and supply chain management. The implementation of AI has proved to be very effective in terms of improvement of efficiency, minimization of the downtime, quality of their products and flexibility. Manufacturers, however, suffer with respect to poor data quality, legacy infrastructure, cost of implementation, shortage of skills and cybersecurity risk problems. With the example of such industry leaders as GE, BMW, Siemens, and Tesla, the disruptive power of AI is visible in the different manufacturing settings. The indicators of the trends in the future indicate self-governing factories, edge AI, digital doubles, human-AI interaction, and environmentally responsible manufacturing processes. Although there are barriers, strategic adoption and maintenance innovation are key drivers that make AI one of the drivers of the next generation of smart, agile, and sustainable manufacturing systems.