DIGITAL TWINNING

FOR A CONSIDERABLE PERIOD, CAR MANUFACTURERS HAVE ENCOUNTERED CHALLENGES IN ACHIEVING ACCURATE VEHICLE DESIGN, STREAMLINED MANUFACTURING PROCESSES, AND EXCELLENT SALES AND SERVICING. HOWEVER, ADOPTING THE CONCEPT OF A DIGITAL TWIN CAN POTENTIALLY TRANSFORM THIS SITUATION.

IN THE WORLD OF MANUFACTURING, THE concept of digital twins has gained significant popularity in recent years. This technology involves creating virtual replicas of physical products or processes, which can be used for various purposes such as testing, optimisation, and maintenance. One of the industries that have embraced digital twins with open arms is the automotive industry.

The technology used by digital twins includes:

• Internet of Things (IoT)

• Artificial Intelligence (AI) 

• Machine Learning (ML)

• Predictive analysis

• Simulation tools

DIGITAL TWIN TECHNOLOGY CHARACTERISTICS

Digital twin technology has the potential to enhance productivity and accelerate processes, thereby revolutionising the entire manufacturing value chain. From testing over-the-air software upgrades to developing car products, a virtual twin can be useful in various situations.

Here are some other qualities you should consider:

Smart: Digital twins are intelligent replicas of systems and procedures that can predict errors in the final product. AI-powered data processing provides insights on products, production, and supply chain.  Real-time monitoring and past learning enable precision.

Real-Time: The virtual and physical worlds provided are in sync, updated in real-time or nearly so. The system stays current by continuously integrating data from the physical world. 

Repeatable: Digital twin technology can develop any industrial process or product with customisation options and adaptability to different settings. The model is modifiable.