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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.



IRIS – interdisciplinarity for a new industrial society

IRIS is an overall school initiative that enables researchers to work collaboratively across departments at the ITM school, and on joint research projects. With a holistic interdisciplinary perspective, we aim to enhance the impact of our research for more a sustainable industry and society.

Latest news

A personal drone flying over a city in sunset.
It may sound exciting to have personal drones over our cities, but when it comes down to it, people are not so willing to change their immediate surroundings. Photo: Joby Aviations

Resistance to noise threats new types of drones

Flying cars above the Globe Arena and drones for cargo transport taking off and landing from Stockholm rooftops. Is this a realistic future scenario, and how do we get there? One thing that threatens ...

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Rutger Gyllenram and Peter Samuelsson initiated FerroSilva some years ago.

"We can produce steel with one-tenth of the electricity"

FerroSilva, which started as a project at the Department of Materials Science and Engineering, has developed a new process for producing fossil-free sponge iron. The plan is to start the first factory...

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Steel flowers
Image by DALL-E.

Major drive for green steel

In a project designed to help the steel industry transition to a climate-neutral production, KTH and Luleå University of Technology will share over 41 million SEK from EU and Tillväxtverket. The focus...

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Y. Li et al., "Digital twin-based job shop anomaly detection and dynamic scheduling," Robotics and Computer-Integrated Manufacturing, vol. 79, 2023.
Y. Liu et al., "Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning," Robotics and Computer-Integrated Manufacturing, vol. 80, pp. 102454, 2023.
Full list in the KTH publications portal
Belongs to: School of Industrial Engineering and Management
Last changed: Mar 01, 2023