production technology

The digitization of processes is complex and error-prone. That is why manufacturing processes are monitored using statistical process control methods. The aim of the presented project was to answer the questions how the data basis for the use of the quality control chart (QRC) can be extended from random samples to near real-time data and how the implementation of the solution should be done. The software solution was developed and tested in the Fischertechnik learning factory. It could be shown that the data from the learning factory is suitable to be displayed in a closely timed manner and to be evaluated by means of process indicators of the QRK. In this way, errors can be avoided and capacities saved. (Only in German)

Within the last few years there was a growing trend at universities to establish so called Virtual Reality laboratories as special work places. This trend follows the need for better visualisation, both of research findings and of teaching content. The use of Virtual Reality systems for educational purposes at universities improves the imparting of complex issues and therefore enables a faster and more purposeful expert education. The visualisation of the relevant teaching content, using the virtual-interactive environment in combination with practical training, will help to improve the training results [1]. This paper outlines the potentials of the Virtual Reality technology for the university education.