Top 3 Practical Applications for Digital Twins

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Industry 4.0 is taking extensive changes to industrial operations. As explained by i-Scoop as “the evolution to cyber-physical systems, representing the fourth industrial revolution on the road to an end-to-end value chain with Industrial IOT and decentralized intelligence,” this common digital transformation is carrying a multitude of new technologies to the mainstream, including digital twins.


The digital twin, concept originated with NASA as the organization sought effective ways to manage the issues associated with the Apollo 13 mission. The utilization of data collected from sensors, a “virtual model of a process, product, or service” is created. The twin, a digital representation, can then be used to visualize something physical in glean critical data, detail, and apply the information in practical, useful ways.


The market for the technology is all set to hit $15.66 billion by 2023, with digital twins established as a reality in many manufacturing businesses. To transform the way companies approach manufacturing and customer service half of the large industrial companies will be using digital twins, by 2021.


Top Advantages of Digital Twin Technology

Digital twin technologies offer a fantastic array of advantages. Here we are listing some of the benefits, take a look:


Better production times

More effective delivery and supply chains

Increased productivity and operational efficiencies

Offering remotely configuring customized products to customers

Improved customer service

Before the occurrence of breakdowns, prediction of maintenance issues

Decreased maintenance costs

Increased overall equipment effectiveness (OEE) through minimized downtime

Improved reliability of production and equipment lines

Enhanced profits on a sustaining basis


Top 3 Practical Applications for Digital Twins


As it’s possible to make digital twins of individual components, full systems, complete assets, and entire processes, the technology has wide applications in a variety of sectors.


Testing New Systems before Manufacturing

Before investing in building or implementation, to create and test systems, equipment ideas, and service models companies can use digital twins. Its digital twin could theoretically be linked to the physical creation for real-time monitoring if a model proves effective.


Improving Productivity and Efficiency

According to Forbes prediction in 2017 regarding digital twins, the technology could improve the speed of critical processes by 30 percent. Based on Gartner’s explanation, near about 10 percent improvement could be seen in industrial companies in effectiveness. In nearly all industries, the global availability of and diverse use cases for digital twins offers businesses a better understanding of where processes can be improved and streamlined, hence helps to reduce downtime through the practice of predictive maintenance.


Managing Assets in Real-Time

The usage of digital twins to streamline manufacturing and to monitor daily operations decreases the not needed wear and tear on machinery and alerts owners to potential money-saving changes, for instance making adjustments in the usage of fuel. By improving overall output, faster maintenance and repair allows companies to maintain a competitive edge.

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