Digital twin technologies have become popular in wind energy for monitoring and what-if
scenario investigation. However, develo** a digital representation of the wind is …

Many contexts can be found where data reside in silos, which presents challenges for
supporting decision making that relies on data from multiple silos. Digital twins (DTs) have …

Nowadays, the data silo problem in the industrial systems is a major problem hindering
scalable design of data-driven use cases across the value stream of products. Although the …

The notion of Digital Twin is known as a means to access otherwise dispersed lifecycle data
of industrial devices, and enabling advanced reasoning on top of the data via various kinds …

Digital twins, especially when standardized, are an essential aspect of Industry 4.0, because
they enable in-teroperability for components of different companies, both in the engineering …

The pace of reporting on Digital Twin (DT) projects continues to accelerate both in industry
and academia. However, these experience reports often leave out essential characteristics …

The integration of data within large complex systems, such as railway infrastructure, forms a
key component of enabling data-led decision making. Data can exist in numerous different …

This book constitutes the refereed post-proceedings of the 9th International Conference and
10th International Conference on Model-Driven Engineering and Software Development …

Abstract Die Reparatur von Investitionsgütern mit einer hohen Lebensdauer ist ein lukratives
Geschäft für Industrieunternehmen in der Maintenance, Repair and Overhaul Branche …