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Publications

Here are the 50 latest publications from the Department of Production Engineering.

[1]
X. Liu et al., "A cloud manufacturing service composition optimization method for fuzzy demands based on improved NSGA-III algorithm," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[2]
D. Wu et al., "Empowering natural human–robot collaboration through multimodal language models and spatial intelligence: Pathways and perspectives," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[3]
B. Zi et al., "Coating defect detection in intelligent manufacturing: Advances, challenges, and future trends," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[4]
J. Baalsrud Hauge, J. Baalsrud Hauge and M. Kalverkamp, "Reflections on the Usage of a Commercial-Off-The-Shelf Game in Teaching Logistics," in Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, pp. 217-232.
[5]
S. Wiesner, J. Baalsrud Hauge and K. D. Thoben, "Enabling Circular Business Models and Digital Transformation for Sustainable Value Creation in European Manufacturing SMEs," in Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, pp. 550-564.
[6]
Y. Jeong, C. Kober and M. Fette, "Integrating Large Language Models and Digital Twins in Manufacturing : Opportunities and Challenges for Production Logistics and Assembly Environments," in Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, pp. 528-542.
[7]
K. Cho et al., "Graph Attention Network Based Deep Reinforcement Learning Approach for Dynamic Human Order Picking," in Advances in Production Management Systems. : Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, Part I, 2026, pp. 450-465.
[8]
J. Baalsrud Hauge and I. A. Stefan, "The Contribution of Cybersecurity for Improving the Resilience of Supply Chains – The Need of Employee Training," in Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, pp. 246-262.
[9]
S. E. Birkie, Z. Chavez and R. Laurenti, "Green Design Methodology in Production Equipment Design and Acquisition: State of Practice and Way Forward," in Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings, 2026, pp. 566-579.
[10]
R. Zhong et al., "A two-stage framework for learning human-to-robot object handover policy from 4D spatiotemporal flow," Robotics and Computer-Integrated Manufacturing, vol. 98, 2026.
[11]
Q. Qin et al., "Robot digital twin systems in manufacturing : Technologies, applications, trends and challenges," Robotics and Computer-Integrated Manufacturing, vol. 97, 2026.
[12]
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.
[13]
Y. Qin et al., "A tool wear monitoring method based on data-driven and physical output," Robotics and Computer-Integrated Manufacturing, vol. 91, 2025.
[14]
S. Das et al., "Towards gamification for spatial digital learning environments," Entertainment Computing, vol. 52, 2025.
[15]
V. Rahawi, "Optimering av VOR-processen i Scanias reservdelslogistik," , 2025.
[16]
E. Weber, "Reverse engineering av Embedded Test Systems," , 2025.
[17]
Q. Liu et al., "A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network," Mechanical systems and signal processing, vol. 225, 2025.
[18]
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.
[19]
Z. Wang et al., "Energy consumption modeling based on operation mechanisms of industrial robots," Robotics and Computer-Integrated Manufacturing, vol. 94, 2025.
[20]
B. Zhang et al., "An imbalanced data learning approach for tool wear monitoring based on data augmentation," Journal of Intelligent Manufacturing, vol. 36, no. 1, pp. 399-420, 2025.
[21]
M. Gonzalez, M. J. Coll-Araoz and A. Archenti, "Enhancing reliability in advanced manufacturing systems : A methodology for the assessment of detection and monitoring techniques," Journal of manufacturing systems, vol. 79, pp. 318-333, 2025.
[22]
B. Wang et al., "Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities," Advanced Engineering Informatics, vol. 64, 2025.
[23]
J. Leng et al., "Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II) : Design processes and enablers," Journal of manufacturing systems, vol. 79, pp. 528-562, 2025.
[24]
Z. Wang et al., "Industrial Robots Energy Consumption Modeling, Identification and Optimization Through Time-Scaling," IEEE Transactions on robotics, vol. 41, pp. 1456-1475, 2025.
[25]
B. Ganesh et al., "Towards a Circular Solution for Healthcare Plastic Waste : Understanding the Legal, Operational, and Technological Landscape," Recycling, vol. 10, no. 1, 2025.
[26]
E. Fjällström and L. Edwall, "Konsekvenserna bristen på dataregistrering har för spårbarheten av medicintekniska engångsartiklar i operationssalen : En studie om patientsäkerhet, vårdkvalitet och effektivitet," , 2025.
[27]
B. Tiganus, "Defining the Digital Product Passport : Integrating Circular Economy, Digitalization, and Modularisation for Sustainability," , 2025.
[28]
M. Hayek, "Utveckling av en luftflödesbaserad värmekälla för TPU-svetsning," , 2025.
[29]
X. Deng, Z. Wang and Y. Wang, "Practical Research on Intelligent Upgrading Management of Building Steel Structure Manufacturing Factory," in Proceedings of the 14th International Conference on Logistics and Systems Engineering, 2025, pp. 268-278.
[30]
T. Wang et al., "A design framework for high-fidelity human-centric digital twin of collaborative work cell in Industry 5.0," Journal of manufacturing systems, vol. 80, pp. 140-156, 2025.
[31]
Y. Ibrahim, "Optimera återtillverkningsstrategier för elmotor i tillverkningsprocessen," , 2025.
[32]
N. D. P. Jönsson, "Grundstruktur för Lean-implementering : En fallstudie på Platt AB," , 2025.
[33]
E. Flores-García et al., "Machine learning in smart production logistics : a review of technological capabilities," International Journal of Production Research, vol. 63, no. 5, pp. 1898-1932, 2025.
[34]
M. Zafarzadeh et al., "A framework and system architecture for value-oriented digital services in data-driven production logistics," International Journal of Production Research, pp. 1-21, 2025.
[35]
P. Dunaj et al., "Stiffness-controlled lathe spindle for varying operating conditions," The International Journal of Advanced Manufacturing Technology, vol. 137, no. 9-10, pp. 4521-4535, 2025.
[36]
J. Byström and M. M. Sharifi, "Optimering av inbound-processen hos DeLavals fabrik i Tumba," , 2025.
[37]
M. K. Gonzalez Bassante, "On the Accuracy of Articulated Robots : A Comprehensive Approach to Evaluate and Improve Robot Accuracy for Contact Applications," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2025:6, 2025.
[38]
E. Izgi, "Alternativ rangeringsgränssnitt mellan rangertruck och lastbil," , 2025.
[39]
T. Alchadaydy, "Study of Influencing Factors in Evaporated Titanium and How Their Control Can Improve Production," , 2025.
[40]
R. Kalaiarasan, "Visibility in Manufacturing Supply Chains: Conceptualisation, Realisation and Implications," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2025:12, 2025.
[41]
K. Käll and K. Rahmani, "LCA-aspekter vid verktygsrekommendationer : Utveckling av stöd för val av verktyg och skärdata," , 2025.
[42]
W. Farzad and N. Malakar, "Predicting Quality of Surface Roughness and Tool Wear by Different Signals and Regression Algorithms," , 2025.
[43]
N. Athami, "Termomekanik inom strömförsörjningsenhet," , 2025.
[44]
M. P. Tay et al., "A simulation-based decision support tool for circular manufacturing systems in the automotive industry using electric machines as a remanufacturing case study," International Journal of Production Research, pp. 1-20, 2025.
[45]
J. Chen et al., "Fabrication and development of mechanical metamaterials via additive manufacturing for biomedical applications : a review," International Journal of Extreme Manufacturing, vol. 7, no. 1, 2025.
[46]
K. Yang et al., "A multi-level multi-domain digital twin modeling method for industrial robots," Robotics and Computer-Integrated Manufacturing, vol. 95, 2025.
[47]
A. de Giorgio, "From entropy to international relations: How research into artificial intelligence is improving the world," in The Routledge Handbook of Artificial Intelligence and International Relations, : Informa UK Limited, 2025, pp. 5-18.
[48]
D. Brasioli et al., "Introduction: The transformative impact of artificial intelligence on our world," in The Routledge Handbook of Artificial Intelligence and International Relations, : Informa UK Limited, 2025, pp. 1-2.
[49]
Z. Zhao et al., "Enhancing reconfiguration of cloud manufacturing service composition under unexpected changes in service time availability by flexible splitting and intermingling strategies," Robotics and Computer-Integrated Manufacturing, vol. 95, 2025.
[50]
"The Routledge handbook of artificial intelligence and international relations," , Informa UK Limited, The Routledge Handbook of Artificial Intelligence and International Relations, 2025.
Full list in the KTH publications portal