Revolutionizing logistics and supply chain management in smart manufacturing is one of the
main goals of the Industry 4.0 movement. Emerging technologies such as autonomous …

The hype concerning digitalization is increasing the demand for new generations of
automation systems. Concepts like Reference Architecture Model Industry 4.0 (RAMI 4.0) …

Workflow management is implemented in manufacturing at many levels. The nature of
processes varies at each level, hindering the use of a standard modeling or implementation …

In order to tackle interoperability issues of large-scale automation systems, SOA (Service-
Oriented Architecture) principles, where information exchange is manifested by systems …

While Industry 4.0 targets are theoretically set from various aspects, the approaches for
covering some of its key areas are heterogeneous. The main pillars for Productive4. 0-a …

Workflow management is realised in manufacturing at the Enterprise-and Production
(workstation) levels. The characteristics of business processes in these levels differ enough …

The concept of local automation clouds was first initiated by the Arrowhead framework in
order to cover special requirements of the Industrial Internet of Things domain. The security …

Many smart city applications have been proposed and demonstrated over the years;
however, moving to large-scale deployment is still scarce. A contributing factor to this …

Smart city offers a concept of interconnection of modern digital technologies in the context of
a city that provides a solution to enhance the quality and performance of urban services …

Reaching the targets of the Industry 4.0 movement requires serious efforts for the technology
adapters. These include the digitization of their industrial processes, the integration of …