Decision Support Systems for Smart Manufacturing Using Digital Twins
摘要
Envision a factory where machines communicate seamlessly, predict maintenance needs before failures occur, and optimize production lines in real-time. This vision of a hyper-connected, intelligent production environment is not a far aspiration but rather a tangible reality enabled by smart manufacturing. As the next phase of industrial evolution, smart manufacturing strengthens new technologies to create more accurate, adaptable, and interconnected development environments [38]. It integrates advanced manufacturing techniques with digital transformation tools such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, and cloud computing [27]. Collectively, these technologies empower manufacturers to boost their processes, develop product quality, and swiftly respond to market dynamics. By fostering a more agile and responsive manufacturing ecosystem, smart manufacturing aims to optimize resource utilization, reduce operational costs, and drive innovation across the production lifecycle [49].