Purpose: Digital Twins attract much attention in science and practice, because of their capability to integrate operational data from a wide variety of sources. Thus, providing a complete overview of an asset throughout its entire life cycle. This article develops and demonstrates a Digital...

AbstractEconomic, political, and societal pressure forces companies to act more sustainably. New legislation and regulation such as the Supply Chain Act, mandates companies to take responsibility for their actions as well as those of their supply chain collaborators. Meeting these requirements...

The supply network structure of manufacturers is complex and non-transparent. In order to achieve a higher visibility and consequently increase the performance, the existing lack of data has to be closed. This paper answers the questions, how to identify, describe and compare suitable data...

Transforming increasingly growing data volumes into knowledge and improving its usage requires knowledge management models (KMM). KMM structures the workflow for decision taking based on knowledge. Industry-suitable requirements for a KMM, in particular for automotive supply chains (SC) and...