Workshop of the "Netzwerk Innovativer Lernfabriken"

Short description: Attendance at a workshop of "Netzwerk Innovativer Lernfabriken". During the workshop, the EXCELL project was presented to attending network members, and a targeted consultation took place with experts building and operating the learning factory facility at Reutlingen. The discussion focused on representation of manufacturing aspects related to massive process transparency and (remote) decision support in the dominantly manual and small-scale work processes modeled in the learning factory.

CEML: Mixing and moving complex event processing and machine learning to the edge of the network for IoT applications

The Internet of Things (IoT) is a growing field which is expected to generate and collect data everywhere at any time. Highly scalable cloud analytics systems are frequently being used to handle this data explosion. However, the ubiquitous nature of the IoT data imposes new technical and non-technical requirements which are difficult to address with a cloud deployment. To solve these problems, we need a new set of development technologies such as Distributed Data Mining and Ubiquitous Data Mining targeted and optimized towards IoT applications.

Efficiency and security of process transparency in production networks - a view of expectations, obstacles and potentials

Much of the resilience and flexibility of production networks lies in the transparency of processes that allows timely perception of actual process states and adequate decisions or intervention at the proper point of the production system.

Monitoring and control framework for business processes in ubiquitous environments

Business processes in production and logistics need to be monitored in order to comply with official regulations, to schedule and plan the production or transport route, to ensure quality and find errors, but also to optimize the process itself. Often this monitoring needs to be done in real-time, e.g.