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Applications of digital twin across Industries: A review

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journal contribution
posted on 2023-05-04, 15:22 authored by Maulshree Singh, Rupal Srivastava, Evert Fuenmayor, Vladimir KutsVladimir Kuts, Yuansong Qiao, Niall Murray, Declan Devine

One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digital or CAD models is the automatic bidirectional exchange of data between digital and physical twins in real-time. The benefits of implementing DT in any sector include reduced operational costs and time, increased productivity, better decision making, improved predictive/preventive maintenance, etc. As a result, its implementation is expected to grow exponentially in the coming decades as, with the advent of Industry 4.0, products and systems have become more intelligent, relaying on collection and storing incremental amounts of data. Connecting that data effectively to DTs can open up many new opportunities and this paper explores different industrial sectors where the implementation of DT is taking advantage of these opportunities and how these opportunities are taking the industry forward. The paper covers the applications of DT in 13 different industries including the manufacturing, agriculture, education, construction, medicine, and retail, along with the industrial use case in these industries.


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Applied Sciences 12, no. 11: 5727



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  • Electronic & Computer Engineering

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