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.
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.
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.