Track: quality Aspects in Industry 4.0

Industry 4.0 is the term coined to name future industries: they are supposed to exploit the latest technological advances, such as Internet-of-Things, wireless sensor networks, big data, cloud computing, and so forth, to implement smart factories. The industries of the future are made up of cyber-physical systems that are expected to provide high flexibility and re-configurability spanning across the whole value chain. The aim is to enhance all the quality aspects of the production, from the delivered product to the impact on the environment. Given these promises, Industry 4.0 demands appropriate solutions to deal with additional needs in the design, production, and logistics, as well as in their coordination.

In this track, we seek novel contributions on the realization of Industry 4.0 quality goals, as well as case studies reporting on related experiences in that field.

Suggested topics of interest are, even if not restricted to, as follows:

  • Quality requirements in the design, production, and/or logistics and their coordination for Industry 4.0;
  • Methods for the verification&validation of quality in the design, production, and/or logistics and their coordination for Industry 4.0;
  • Processes and engineering methodologies to enhance quality in Industry 4.0;
  • Empirical studies on quality-related challenges and solutions for Industry 4.0.

Thematic Track Committee

Track Chairs:

Track PC Members:

  • Matthias Tichy, Ulm University, Germany
  • Tomasz Kornuta, IBM Research, Almaden, USA
  • Shaukat Ali, Simula Research Laboratory, Norway
  • Jan Bosch, Chalmers University of Technology, Sweden
  • Luca Berardinelli, Vienna University of Technology, Austria
  • Tobias Bruckmann, University of Duisburg-Essen , Germany
  • Stefan Biffl, Vienna University of Technology , Austria
  • Gerhard Kraetzschmar, Bonn-Rhein-Sieg University Germany
  • Martin Törngren, KTH Royal Institute of Technology in Stockholm, Sweden
  • Bert Van Beek, Eindhoven University of Technology , Netherlands

Antonio Cicchetti

Antonio is Associate Professor at Malardalen University in Vasteras (Sweden), at the Innovation, Design and Eengineering Department. He is part of the Malardalen Research and Technology Centre (MRTC).His interests include MDE, model versioning, metamodeling, model weaving, generative techniques in Web engineering and methodologies for Web development. He has got his Ph.D in Computer Science in 2008 at the Computer Science Department of the University of L'Aquila with the thesis entiltled "Difference Representation and Conflict Management in Model-Driven Engineering".

Currently, he is investigating several issues related to model versioning, as model repositories, model co-evolution and synchronization. Moreover, he is working on the application of MDE techniques to the component-based development field, with respect to system modelling, generation of code, and Verification&Validation activities.

Jan Broenink

Jan studied Electrical Engineering at the University of Twente, where he obtained a BSc degree in 1980, a MSc degree EE and Biomedical Engineering in 1984 and a PhD degree in 1990. His PhD project was on the development of CAMAS, Computer-Aided Modeling and Simulation: a bond-graph approach. CAMAS was further developed and is now commercially available as 20sim via our spin-off Controllab Products.

From 1990 to 2003 he was assistant professor at the Control Laboratoryof the Department of Electrical Engineering of the University of Twente, where he worked on CAMAS and parallel programming for robotic control.

Since 2003 he is associate professor at the same group, now calledRobotics and Mechatronics (RaM).

Since July 2017, he is Head of Department of RaM, co-chairing withStefano Stramigioli, who is Scientific Director of RaM.

His current research interests are on cyber-physical systems, embedded control systems (realization of control schemes on mostly networked computers) and software architectures for robotics.