Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

Increasing volatilities within power transmission and distribution force power grid operators
to amplify their use of communication infrastructure to monitor and control their grid. The …

The Industrial Internet-of-Things (IIoT) promises significant improvements for the
manufacturing industry by facilitating the integration of manufacturing systems by Digital …

Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

Entering the second decade of the Industrie 4.0 vision, the production sector is facing
challenges in taking full advantage of global digitalization. Production research has focused …

Supply chains form the backbone of modern economies and therefore require reliable
information flows. In practice, however, supply chains face severe technical challenges …

The production sector has faced many difficulties in taking full advantage of opportunities
found in other web application domains. Production research has focused on sophisticated …

Data ecosystems emerged as a new paradigm to facilitate the automated and massive
exchange of data from heterogeneous information sources between different stakeholders …

In the production industry, the volume, variety, and velocity of data as well as the number of
deployed protocols increase exponentially due to the influences of the Internet-of-Things …

The Internet of Production (IoP) envisions the interconnection of previously isolated CPS in
the area of manufacturing across institutional boundaries to realize benefits such as …