A Short Technical Review on Digital Twins in Smart Manufacturing
Keywords:
Digital twin, smart manufacturing, machine learning, Internet of thingsAbstract
The most recent tendencies and breakthroughs in digital technologies have made it possible to implement a new model of manufacturing. By establishing a digital twin of the real environment and basing their judgments on that twin, digital systems are able to monitor, optimize, and manage the processes that they are applied to. This concept is predicated on the creation of a “Digital Twin” for each individual production source that contributes to the overall manufacturing process. In spite of the fact that different real-world applications of digital twin may involve different technical and operational specifics, a significant amount of work has been put in over the past few years to recognize and express principal properties, in addition to the primary challenges involved in the practical implementation of digital twins within related industries. The purpose of this article is to review and analyze the fundamental principles, ideas, and technological solutions that comprise the Digital Twin vision for production processes. As a result, the objective of this review is to provide a synopsis of the state-of-the-art regarding digital twin concepts and to analyze their most recent status in terms of their potential application and implementation.
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