Cognitive Digital Twins for Smart Manufacturing

作者：Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy Harik, Amit Sheth · 发表于：IEEE Intelligent Systems · 年份：2021 · DOI：10.1109/mis.2021.3062437 · 被引用次数：82 · 研究领域：Digital Transformation in Industry、Manufacturing Process and Optimization、Flexible and Reconfigurable Manufacturing Systems

Smart manufacturing or Industry 4.0, a trend initiated a decade ago, aims to revolutionize traditional manufacturing using technology driven approaches. Modern digital technologies such as the Industrial Internet of Things (IIoT), Big Data analytics, augmented/virtual reality, and artificial intelligence (AI) are the key enablers of new smart manufacturing approaches. The digital twin is an emerging concept whereby a digital replica can be built of any physical object. Digital twins are becoming mainstream; many organizations have started to rely on digital twins to monitor, analyze, and simulate physical assets and processes.