Cluster of Excellence - Production Technology in High-Wage Countries
Cross-Sectional Processes 1
The stronger integration of information and communication technologies into production enables a new type of productivity growth by collaboration. This so-called collaboration productivity in integrative, interdisciplinary teams is in the focus of the Cross Sectional Processes. Here three main perspectives of collaboration are considered: results, employees and structure. The research results of the interdisciplinary project teams aim at increasing productivity both in the production and in the product development process, especially concerning individualized products. The aim is to integrate the contributions of the different research projects by a holistic approach to a new theory of production. This theory is supposed to increase the predictability of the behaviour of socio-technical production systems and therefore supports the decision-maker. The basis of collaboration productivity are integrative, interdisciplinary teams that are working together on technologies and models of the integrative production technology. Focus of Scientific Cooperation Engineering is to support and analyze collaboration in and across the teams. On the one hand innovation and knowledge management in interdisciplinary research teams are analyzed, on the other hand the performance and productivity of those teams are measured. The Research area Technology Transfer aims to strengthen the collaboration structures within the Cluster of Excellence by sustainable networking. With the Scientific Cooperation Portal networking structures can be tested internally. In the long-term the aim is to simplify the search of technologies for external partners. The network PROTECA (Production Technology Aachen) transfers the results and competencies into the local industry.
Christine Mendez, Vlatko Lukarov, Christoph Greven, André Calero Valdez, Felix Dietze, Ulrik Schroeder, Martina Ziefle
User Groups and Different Levels of Control in Recommender Systems.
In: International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, pp. 308–323.
Felix Dietze, Johannes Karoff, André Calero Valdez, Martina Ziefle, Christoph Greven, Ulrik Schroeder
An open-source object-graph-mapping framework for Neo4j and scala: renesca.
In: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31-September 2, 2016, Proceedings, pp. 204–218.
Gunther Schuh, André Brakling, André Calero Valdez, Anne-Kathrin Schaar, Martina Ziefle
Using Liferay as an Interdisciplinary Scientific Collaboration Portal.
In: Social Computing and Social Media: 8th International Conference, SCSM 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17–22, 2016. Proceedings, pp. 405.