All Outputs (9)

Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization (2024)
Presentation / Conference Contribution
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024, June). Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization. Presented at 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2024), Taiwan, Taichung

Within the context of Industry 4.0 and the Reference Architecture Model Industrie 4.0, the Asset Administration Shell (AAS) framework has emerged as a critical component for implementing Digital Twins that facilitate a seamless data exchange within a... Read More about Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization.

Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells (2024)
Presentation / Conference Contribution
Pandurevic, S., Wang, Z., Sanderson, D., & Ratchev, S. (2024, November). Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells. Presented at ASME 2024 International Mechanical Engineering Congress and Exposition, Portland, Oregon, USA

Photogrammetry systems are extensively used in industrial manufacturing as an assistance measurement tool.Their non-contact nature and rapid data acquisition allow for high-precision feedback, playing a crucial role in various applications such as qu... Read More about Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells.

Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems (2024)
Journal Article
Wang, Z., Wang, L., Martínez-Arellano, G., Griffin, J., Sanderson, D., & Ratchev, S. (2024). Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems. Journal of Manufacturing Systems, 77, 1045-1061. https://doi.org/10.1016/j.jmsy.2024.11.001

Photogrammetry is extensively used in manufacturing processes due to its non-contact nature and rapid data acquisition. Positioning photogrammetry cameras requires knowledge of the manufacturing process and time in manual field-of-view (FoV) adjustme... Read More about Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems.

Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning (2024)
Journal Article
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., & Ratchev, S. (2024). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. IFAC-PapersOnLine, 58(19), 789-794. https://doi.org/10.1016/j.ifacol.2024.09.202

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lin... Read More about Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning.

Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor (2024)
Journal Article
Martínez-Arellano, G., & Ratchev, S. (2025). Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor. International Journal of Advanced Manufacturing Technology, 138, 169-191. https://doi.org/10.1007/s00170-024-14508-5

Artificial intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor.

Omnifactory: a National Training and Research Testbed for Smart Manufacturing Systems (2024)
Presentation / Conference Contribution
Sanderson, D., Wang, Z., Bainbridge, D., & Ratchev, S. (2024, April). Omnifactory: a National Training and Research Testbed for Smart Manufacturing Systems. Presented at 14th Conference on Learning Factories (CLF), Twente, Netherlands

Omnifactory is a national experimental testbed and technology demonstrator for digital-enabled manufacturing technologies launched in March 2023 that was funded by the UK Industrial Strategy Challenge Fund. Omnifac-tory has its foundations in a susta... Read More about Omnifactory: a National Training and Research Testbed for Smart Manufacturing Systems.

Improving the Development and Reusability of Industrial AI Through Semantic Models (2024)
Presentation / Conference Contribution
Martínez-Arellano, G., & Ratchev, S. (2024, April). Improving the Development and Reusability of Industrial AI Through Semantic Models. Presented at Conference on Learning Factories 2024, University of Twente, The Netherlands

Despite some of the success of AI, particularly machine learning, in industrial applications such as condition monitoring, quality inspection and asset control , solutions are typically bespoke and not robust in the long term. There is a considerable... Read More about Improving the Development and Reusability of Industrial AI Through Semantic Models.

Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin (2024)
Journal Article
Wang, L., Wang, Z., Gumma, K., Turner, A., & Ratchev, S. (in press). Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin. Journal of Intelligent Manufacturing, https://doi.org/10.1007/s10845-023-02229-7

To meet the requirement of product variety and short production cycle, reconfigurable manufacturing system is considered as an effective solution in addressing current challenges, such as increasing customisation, high flexibility and dynamic market... Read More about Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin.

Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models (2024)
Presentation / Conference Contribution
Mo, F., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024, June). Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models. Presented at International Conference on Flexible Automation and Intelligent Manufacturing, Taichung, Taiwan

This paper introduces an approach that integrates Natural Language Processing (NLP) and knowledge graphs with Reconfigurable Manufacturing Systems (RMS) to enhance flexibility and adaptability. We utilize a chatbot interface powered by GPT-4 and a st... Read More about Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models.