AI has already initiated redefining the manufacturing sector by driving efficiency, innovation, and competitiveness. The adoption of AI technologies such as machine learning, robotics, and predictive analytics is connected with substantial improvements in productivity, maintenance, and product quality. Besides, challenges continue specifically regarding workforce readiness and data management. Through suitable strategies and investments in upskilling, AI can serve as a substance for sustainable growth in manufacturing. The future of manufacturing lies in the successful mixture of human expertise and intelligent automation. This research explores how Artificial Intelligence (AI) technologies are influencing manufacturing processes in selected industrial units in Sangli district (Maharashtra, India). AI applications such as predictive maintenance, quality control, automation, and supply chain forecasting are assessed with respect to operational efficiency, cost optimization, workforce skills development, and competitiveness. However, AI adoption is advancing internationally and nationwide, local manufacturing units show mixed levels of integration due to infrastructure and skill-related challenges. Findings highlight improvements in productivity and quality along with obstacles to wider AI uptake among smaller firms.
Dr. Rajaram Shankar Salunkhe (Mon,) studied this question.