Impact of digital twin technology on business operations
A digital twin is a virtual algorithmic replica of an object or system that fully blends physical and analog dimensions (Ikimi, 2020). The inspected object is equipped with various sensors related to important functional areas. These sensors generate data about various aspects of a physical object’s performance, such as energy output, temperature, weather conditions, and more. This data is then passed to the processing system and applied to the digital copy. Once informed of such data, the virtual model can be used to run simulations, investigate performance issues and generate potential improvements, all in order to gain valuable insights that can then be applied back to the original physical objects. Therefore, this article examines the impact of digital twin technology (DTT) on business operations.
Continuing Technology Assessment (TA)
Neto et al. (2021) outline various ongoing technology assessments (TAs) of digital twin technologies that could impact business operations. First, it’s digital
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