Digital twin technologies significantly affect manufacturing processes by creating virtual replicas of physical assets, processes, and systems. These models enable real-time monitoring and analysis, allowing manufacturers to simulate scenarios and optimize production efficiency. By leveraging machine learning and IoT data, manufacturers can predict maintenance needs, reduce downtime, and enhance decision-making. As a result, digital twins contribute to lean manufacturing practices and improved product design, ultimately leading to cost savings and increased competitiveness in the market.