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School of Industrial Engineering and Management

Our core knowledge areas include industrial design and innovation, product and production development, materials development, energy technology, learning in engineering sciences as well as industrial economics, organisation and management. Our efforts are directed towards a green and sustainable society for the future.

Departments 

Campus relocation

KTH has decided to relocate the educational programmes and teaching staff at the Södertälje campus to the KTH campus and KTH Flemingsberg. The relocation will be gradual and will begin in the spring semester of 2025 for parts of the operations. From 2027, KTH will conduct its remaining activities and collaboration with strategic partners such as Scania and Astra-Zeneca in new forms.

More about the campus relocation for students

More about the campus relocation for employees

Latest news

Supporting public decision making under deep uncertainty

As part of the ITRL Breakfast Seminars series, Prof.dr.ir. Jan Kwakkel held a seminar on supporting public decision-making under deep uncertainty.

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The partner on stage

A Decade of Provoking Progress

ITRL celebrated its 10-year anniversary on November 28th, an event that also marked the beginning of the centre's next phase and its renewed, extended collaboration with core and project partners. The...

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Scania truck on city street
Photo: Scania

The HITS project shows great potential for sustainable urban transport

Cities across Europe aim to reduce street traffic for a better environment and lower climate impact. A research study initiated by Scania within the HITS project, shows that urban transport can be tra...

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Calendar

Publications

[1]
Z. Zhou et al., "Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[2]
M. Sun et al., "Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[3]
Y. Qin et al., "A tool wear monitoring method based on data-driven and physical output," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
Full list in the KTH publications portal