Machine learning and automation are helping various sectors of industry step into the digital world, and evolve with changing times in business. Companies are able to comb through data sources to acquire insight into the next best steps for their business, whether it’s cutting time in manufacturing or expanding a customer base. Transitioning this information from the physical world to digital can take a lot of time, but with the help of digital twin technology, businesses are getting a quicker connection than ever.
You’re probably asking yourself, what is a digital twin? It’s a digital representation of a physical product or service that allows for that product to be evaluated and manipulated based on analysis in a range of working environments. The digital twin concept brings the virtual and physical worlds together.
A digital twin makes use of real-world data to create a simulation that can predict how a product or process will fare. Digital twin software is easily integrated with artificial intelligence and other analytics to enhance output for businesses.
Product digital twins create models of separate virtual models or products to be examined under different conditions. Revisions can be made to a physical product without the creation of a prototype, saving tons in manufacturing expenses as well as time to market.
Process digital twins create models of a production process, testing it against various scenarios to create an efficient production method. This lowers the occurrence of downtime on the line. System digital replicas are models of entire plants and factory systems. This operational data helps companies gain insight into the creation of newer and better business opportunities from the top down.
Several industries are realizing the benefit of digital twins for the immediate future of their business. Digital twin technology is, above all else, cost-friendly. It allows a business to reduce existing or potential defects during production, giving engineers the opportunity to test and simulate the physical product in a virtual set-up.
It avoids time on the line spent creating prototypes and then follow-up products after making adjustments. Manufacturers are able to eliminate all possible risks in a virtual environment, making sure a product functions as intended.
The use of digital twins lets companies reduce the amount of time it takes to reach the marketplace and beat out the competition. The lifecycle of a product can be simulated in a digital twin model with all improvements to the virtual representation being made quickly and efficiently. This also reduces risks for companies in product design and development.
Digital twins can also anticipate problems and provide solutions as part of predictive maintenance through advanced analytics. The data comes through in real-time, alerting to any downtime or breakdowns that may be forthcoming.
The digital twin concept is allowing organizations to gain more accurate insights into product performance and enhance customer service. Organizations will be able to make better operational decisions through a variety of sectors. Digital twins are commonly seen in the manufacturing industry, creating efficient design models and improving upgrades. This reduces production times significantly. In the automobile industry, digital twins create a virtual model of a connected vehicle, capturing behavioral and operational data. This helps analyze the overall function of the vehicle, resulting in a personalized experience.
The retail industry is using virtual models to allow customers to explore different scenarios. Digital twins can be used to simulate the appearance of an interior design plan, or what clothes and accessories a consumer may prefer. Digital twin applications can also be used in a wide range of sectors in the healthcare industry. This goes from monitoring a patient to preventive healthcare, and even customized treatment plans based on digital twin simulations.