„For a digital twin, there has to be a digital master and a digital shadow.“
DR. KAI LINDOW, Fraunhofer Institute for Production Systems and Design Technology
The data continuously collected from production creates a comprehensive image of the current state of the production system in operation.
Analysis of production data can be used to increase efficiency. Comparison with a similar production system at another location can also be used.
By reviewing historical data or comparing with a similar production system, it is possible to calculate upcoming failure in components and wear parts.
Continuous monitoring of product quality offers clear advantages over random inspection.
Conversions of production to other products or smaller series (keyword: customizing) can be run through first in the digital twin.
Analysis of historical comparative data makes it possible to predict the performance of a system that has not yet been constructed.
Optimization of the supply chain can result in significant increases in efficiency, especially for just-in-time or just-in-sequence production.
Product lifecycle management is relevant for capital goods especially. Even for the end of life of a product, it can be interesting to know what materials are in the product to facilitate recycling.
Virtual simulations help with development. Data collected from the use of a product can also help develop and improved version (design feedback).