The term multiscale analysis originates from the fields of Industry and Factory 4.0 as well as Artificial Intelligence. It describes a method used to analyse complex technical systems or processes simultaneously at different levels or "scales". This means looking at both the big picture and the small details within it.
Imagine that a new material for car parts is being developed in a modern factory. The engineers want to know how the material will behave under load. With a multi-scale analysis, they can examine both the structure of the material at the microscopic level (e.g. individual fibres) and the stability of the entire component. This enables them to recognise how small changes in the material can have a major impact on the end product.
Multiscale analysis helps to make better decisions and recognise quality problems at an early stage. This method is particularly valuable in Industry 4.0 because it effectively links data from machines, materials and processes. This results in more precise predictions, which ultimately leads to more efficient processes and more durable products.
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