Digital Twin based Smart Manufacturing; From Design to Simulation and Optimization Schema

The advent of new-generation information and communication technologies, such as Generative AI, Internet of Things (IoT), big data analytics, Blockchain technology, and artificial intelligence (AI), has led to the emergence of the era of big data in recent years. Digital twin has emerged as one of the most active components in smart manufacturing, garnering significant attention from enterprises, research institutes, and researchers. By creating a digital twin, manufacturers can simulate different scenarios and test various configurations without disrupting the actual production process. This allows for more efficient testing and optimization of production processes, as well as improved quality control and predictive maintenance. Overall, digital twins are an important tool in smart production that can help manufacturers improve efficiency and reduce costs while ensuring high-quality output. In this paper, after reviewing the literature on the subject, in this article, by reviewing the literature, we presented a framework of the digital twin in smart manufacturing, which includes Optimization, Predictive Maintenance, Quality Control, Design, and Simulation, which can be a good guide for future studies.