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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

roadbrigde and skyline
Photo: Jon Flobrant, Unsplash

Postoc within modeling of sociotechnical systems, with focus on road transport

We are looking for a postdoc focusing on analysis and modeling of the transformation of socio-technical systems, and specifically how different electrification strategies (battery-electric, fuel cells...

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Electric logging truck
The TREE project brings together 20 Swedish partners to electrify transports from the forestry industry. Photo: Scania

Electrifying transport in the forestry sector

The forestry industry has set an ambitious target – to electrify half of the transports by 2030. How to get there? KTH researchers will help to answer that question.

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Electrifying Urban Freight Transports, The Role of Financial Incentives and Other Key Factors

As part of the ITRL Breakfast Seminars series, Carolina Gil Ribeiro, PhD candidate at the Division of Energy Systems, ITM School, KTH presented her Ongoing PhD research on Electrifying Urban Freight T...

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Publications

[1]
S. Liu, L. Wang and R. X. Gao, "Cognitive neuroscience and robotics : Advancements and future research directions," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[2]
X. Li et al., "ACWGAN-GP for milling tool breakage monitoring with imbalanced data," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[3]
X. Zhang et al., "Knowledge graph and function block based Digital Twin modeling for robotic machining of large-scale components," Robotics and Computer-Integrated Manufacturing, vol. 85, pp. 102609, 2024.
Full list in the KTH publications portal