A digital twin is a digital image of a product or process. The digital twin contains all the parameters that the real model offers. These can be, for example, product data such as size, weight, dimensions or production processes, material master data and logic data.
With the help of the digital twin and all the necessary data, forward-looking scenario analyses are possible. For example, the optimal manufacturing process of a new production can be determined iteratively. In addition, a digital twin provides a decision-making basis for risk management within the supply chain, as various "what if?" scenarios can be illuminated with a digital twin.
Digital engineering
The use of the digital twin must fit the company's digitisation strategy. An as-is analysis helps to identify resources, potentials and bottlenecks in the implementation of digital twins.
Interoperability
In order for the digital twin to be used in a targeted manner, all systems involved must be able to communicate with each other. For this, a comprehensive analysis of the respective interfaces is particularly important.