Applications of Digital Twin across Industries: A Review

Применение цифровых двойников в различных отраслях: обзор
Niall Murray, Yuansong Qiao, Maulshree Singh, Rupal Srivastava, Evert Fuenmayor, Vladimir Kuts, Declan M. Devine
2022-06-04

Industry 4.0digital twinindustrial applicationspredictive maintenancereal-time bidirectional data exchange
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.
1
Digital Twin adoption is expected to grow substantially in coming decades as products and systems become more intelligent and data-intensive.
2
Digital Twin is distinguished from simulations and CAD models by automatic bidirectional real-time data exchange between digital and physical entities.
3
Effective integration of growing Industry 4.0 data streams with Digital Twins creates new opportunities for advancing industrial processes and systems.
4
Implementing Digital Twins can reduce operational costs and time while improving productivity, decision-making, and predictive or preventive maintenance.
5
The review examines Digital Twin applications across 13 industries, including manufacturing, agriculture, education, construction, medicine, and retail.

Digital Twin (digital replica/model of a physical object) applied across industries

Industry-specific opportunities and benefits of implementing Digital Twins, including operational efficiency, productivity, decision-making, and predictive/preventive maintenance

Publication Details
Publication Date
2022-06-04
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Authors
Niall Murray
Yuansong Qiao
Maulshree Singh
Rupal Srivastava
Evert Fuenmayor
Vladimir Kuts
Declan M. Devine
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