A digital twin is a technically exact, virtual replica of an object or process that’s twinned to its real-world counterpart via data and information feeds. It’s a design and testing approach that’s attracting a growing number of adopters.
At their core, digital twins use mathematical- or physics-based models to simulate or predict likely behaviors, performance attributes, or outcomes of their analogues in the physical world, explains Kenneth Norton, a senior manager in Deloitte Consulting’s smart manufacturing group.
