Abstract
Digital twins are virtual versions of real assets or systems that can be used to track and improve their performance in real time. By enabling businesses to simulate and enhance production processes, track performance in real-time, and identify potential issues before they result in downtime or quality issues, digital twins are revolutionising the manufacturing industry. Using digital twins to enhance product quality, boost efficiency, save costs, and acquire a competitive advantage, manufacturers can get an advantage in the market. The entire manufacturing process, from product design to manufacture to maintenance, makes use of digital twins. For instance, GE Aviation uses a digital twin to simulate and improve the operation of its aircraft engines, while Siemens uses a digital twin to do the same for its facilities’ production processes. Ford uses a digital twin to simulate and improve the operations of its production line. In each of these instances, the asset or system is virtually duplicated using digital twins, enabling manufacturers to simulate various production scenarios, optimise performance, and keep an eye on performance in real time. In general, digital twins have many advantages for manufacturers, such as greater product performance, predictive maintenance, increased production and efficiency, and cost savings. Manufacturers can acquire a market advantage and provide better goods and services to their clients by taking use of these advantages. The potential uses for digital twins in manufacturing are almost endless thanks to the ongoing advancement of cutting-edge technologies like artificial intelligence and machine learning, making them a crucial part of Industry 4.0.
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Adhikari, M.S., Thakur, N., Malik, P.K. (2023). Advanced Digital Twin Technology: Opportunity and Challenges. In: Kumar Sharma, D., Sharma, R., Jeon, G., Kumar, R. (eds) Data Analytics for Smart Grids Applications—A Key to Smart City Development. Intelligent Systems Reference Library, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-031-46092-0_14
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