Virtual Replicas in Manufacturing: AI-Powered Modeling for Workflow Enhancement and Predictive Optimization

Abstract

Original and Virtual Replicas that are managed by Artificial Intelligence are changing the shape or rather the functioning of manufacturing industries or enterprises for better by giving simulations, real-time optimization, and improved decisions. These intelligent models employ AI, IoT and machine learning features for more streamlined working, less time-off, and for managing available resources. In this case, Virtual Replicas contribute to improving the quality control, cutting down on wastage, and reducing the overall expenses of operation through efficient real-time and supply chain management for maintenance and product predictability. That being said, edge computing, 5G, and self-learning AI are new and better ways to create Virtual Replicas. They reveal that its usage will continue to grow in various sectors within the near future and its benefit in enhancing energy efficient and minimizing wastes in SMEs. Considering the concept of Virtual Replicas become more and more popular, the AI-driven Virtual Replicas will be even more significant for the future of smart manufacturing. Companies that will adopt this technology will be at an advantage than their competitors and organization will experience better productivity, stability and robustness in the face of a more digitalized and bureaucratic industrial environment.