Special issue on system-integrated intelligence. New challenges for product and production engineering

Abstract The ubiquitous development of information and communication technology enables new opportunities for products as well as for production and manufacturing systems. These systems will be able to learn and adapt their behaviour during the systems operation for a continuos optimization. This results in an increasing structural complexity and dynamics of products, production networks, processes and organizations, which in turn requires an on-going adaption and reinvention of the organizing principles and solutions. Therefore, new products as well as their corresponding production and logistic processes spawn research activities in the field of advanced information techniques and system integrated intelligence to cope with the complexity and dynamics of future manufacturing networks.

[1]  Maurizio Valle,et al.  Towards integrating intelligence in electronic skin , 2016 .

[2]  Charles R. Farrar,et al.  Machine learning algorithms for damage detection under operational and environmental variability , 2011 .

[3]  David R. Smith,et al.  Integration of Networks of Sensors and Electronics for Structural Health Monitoring of Composite Materials , 2010 .

[4]  Stefan Bosse.  Unified Distributed Computing and Co-ordination in Pervasive/Ubiquitous Networks with Mobile Multi-Agent Systems using a Modular and Portable Agent Code Processing Platform , 2015, EUSPN/ICTH.

[5]  Patrick M. Pilarski,et al.  Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning , 2016 .

[6]  Armin Lechleiter,et al.  A hybrid approach for Structural Monitoring with self-organizing multi-agent systems and inverse numerical methods in material-embedded sensor networks , 2016 .

[7]  Matthias Busse,et al.  An Artificial Intelligence Approach Towards Sensorial Materials , 2011 .

[8]  Walter Lang,et al.  From embedded sensors to sensorial materials—The road to function scale integration , 2011 .

[9]  Otthein Herzog,et al.  Symbolic discrete-time planning with continuous numeric action parameters for agent-controlled processes , 2016 .

[10]  R. Müller,et al.  Structural integration of piezoceramic fibers in deep drawn sheet metal for material-integrated health monitoring , 2016 .

[11]  Thomas H.J. Vaneker,et al.  Design of a decentralized modular architecture for flexible and extensible production systems , 2016 .