Thu Huong


According to a prediction from Gartner, more than two-thirds of companies that have deployed IoT will deploy at least one Digital Twins in production by 2023.

What are Digital Twins?

Digital Twins are digital reproductions of a physical object, process, service, or operating environment and look like its counterpart in the real world.

Digital Twins can be digital replicas of an object in the physical world, such as a jet engine or wind farm, or even larger objects such as buildings or even entire cities. , in addition, digital replication can be used to replicate processes in order to collect data to predict how they will perform.

In essence, a digital twin is a computer program that uses real-world data to create simulations that can predict how a product or process will perform. These programs can integrate the internet of things, artificial intelligence, and software analytics to enhance output.

According to a prediction from Gartner, more than two-thirds of companies that have implemented IoT will deploy at least one Digital Twins digital twin in production by 2023. One number suggests that the digital twin will become one. prevailing trend to help businesses produce smart in the digital age.

What challenges have Digital Twins solved?

Digital Twins can be used in many industries, from automotive to healthcare, power generation, etc., so it has been used to solve a large number of challenges in business such as fatigue and corrosion testing for offshore wind turbines and efficiency improvements in racing cars. Other uses include hospital modeling to define workflows and staffing and find procedural improvements.

Digital twin allows users to investigate solutions for product lifecycle extension, process improvement, production as well as product development and prototype testing. In such cases, the technical copy can virtually represent a problem so that a solution can be devised and tested in the program rather than in the real world.

Digital copies can be divided into three main categories, indicating different times when the process is used:

  • Digital Twin Prototype (DTP) - This copy is made before a physical product is created
  • Digital Twin Instance (DTI) – This copy is made after the product is manufactured to run tests in different use cases
  • Digital Twin Aggregate (DTA) – This is a replica that collects DTI information to determine product capabilities, run prognostications, and check operational parameters

Application of Digital Twins in production

1. Product Design

Digital twin allows engineers, designers and manufacturers to experiment with their designs in any environment until the perfect product is created. This application helps businesses to ensure that the design is free from defects or defects before applying it in the production process.

2. Optimizing the production process

Digital Twins have the ability to help improve existing manufacturing processes by running pre-existing advanced simulations based on real-world data provided by IoT sensors. With this capability, the digital twin will help improve the efficiency of production operations, reduce operational errors and improve the accuracy of leadership decisions.

3. Quality Management

Digital Twins simulate every stage of the manufacturing process and test different materials to find solutions to find the easiest or best quality management for your business. .

4. Supply Chain Management

Apply Digital Twins digital twin to improve supply chain management efficiency as it has the ability to track, analyze and improve performance in packaging operations, shipping management, route capture fastest shipping route,... This will help optimize production and distribution, businesses will reduce warehousing costs.

5. Predictive maintenance

Digital Twins run simulations and predict how machines will behave in the future for use in predictive maintenance - the most transformative process in manufacturing. Technology will accurately predict the time of production interruptions such as broken machinery, long unmaintained machinery, etc. to have maintenance plans, reduce downtime as well as costs. machine repair costs.

Each manufacturing enterprise will have many ways to apply technology in operation as well as production, but choosing which technology to match the process and potential of the business will always be a difficult problem. administrators' awards. A technology solution that fully possesses features to support optimal business operations such as 1C:Company Management will also be a suggestion that managers should not ignore.

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