Chief Engineer / Head of Department
WZL of RWTH Aachen University
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Dr. Ina Heine: Head of the research area Organisational Development at the Laboratory for Machine Tools and Production Engineering WZL at RWTH Aachen University. After her studies in work and organisational psychology at Maastricht University (NL), Flinders University (AUS), and University of Seville (ESP), she completed in 2016 her PhD at RWTH Aachen University. Her team focuses on the sociotechnical design of human-machine systems with the aim of optimising overall system performance. Current related third-party funded projects include the development of intelligent support systems for shop floor and service employees (e.g. AuQuA – “Augmented Intelligence based Quality Assurance of Assembly Tasks in Global Value Networks” and AIXPERIMENTATIONlab – “Augmented Intelligence for supporting employee decision-making”).
This section only covers clips where Ina Heine participated in. For a comprehensive overview of all videos please head over to the rearview section.
This session will give you insights in Augmented Intelligence, Spare Parts, and Maintenance Especially relevant for managers from functions like production, maintenance, service and quality. This session will explore how two large tech…
18 days ago • 1:15 PM
A sneak peak of the agenda. Find out more on the comprehensive overview.
February 25th, 2021 – Thursday
This session will give you insights in Augmented Intelligence, Spare Parts, and Maintenance
Expert Talk + Q&A
Especially relevant for managers from functions like production, maintenance, service and quality.
This session will explore how two large tech trends (AR and AI) have come together, opening up new application areas in the overlapping space of such technologies.
Gain expert insights on the subject matter from Dr. Ina Heine Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University as she presents the concept of augmented intelligence, see firsthand how the industry is adapting, from the project team at Bosch and oculavis through their demonstration and use-cases, combining AI based spare part identification with augmented reality. Share your ideas and feedback throughout, with a series of engaging polls and a Q&A session.
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