All Outputs (96)

Reinforcement Learning-Based Sealant Process Control (2025)
Presentation / Conference Contribution
Narvato, R., Kendall, P., Sanderson, D., Ratchev, S., & Martínez Arellano, G. (2025, July). Reinforcement Learning-Based Sealant Process Control. Presented at 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy

Sealant deposition is a fundamental process in aerospace assembly ensuring the longevity of aerostructures by preventing contaminant transfer and leakage. This process is typically done manually which can lead to inconsistent, time-consuming, and som... Read More about Reinforcement Learning-Based Sealant Process Control.

A level-based classification of technical enablers for the realisation of self-configuration in production systems (2025)
Journal Article
Rehman, H. U., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2025). A level-based classification of technical enablers for the realisation of self-configuration in production systems. International Journal of Advanced Manufacturing Technology, 138(5-6), 1883-1904. https://doi.org/10.1007/s00170-025-15651-3

The requirement for production systems to automatically determine their configuration is becoming more prominent. Self-configuration in manufacturing deals with the capability of a production system to configure itself in response to changes in its e... Read More about A level-based classification of technical enablers for the realisation of self-configuration in production systems.

Intelligent configuration management in modular production systems: Integrating operational semantics with knowledge graphs (2025)
Journal Article
Rehman, H. U., Mo, F., Chaplin, J. C., Zarzycki, L., Jones, M., Maffei, A., & Ratchev, S. (2025). Intelligent configuration management in modular production systems: Integrating operational semantics with knowledge graphs. Journal of Manufacturing Systems, 80, 610-625. https://doi.org/10.1016/j.jmsy.2025.03.017

This paper presents an innovative approach to integrating data-driven strategies into intelligent manufacturing systems, specifically targeting the challenges of configuration management in modular production environments. To address the distinct and... Read More about Intelligent configuration management in modular production systems: Integrating operational semantics with knowledge graphs.

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.

Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning (2023)
Presentation / Conference Contribution
Torayev, A., Abadia, J. J. P., Martínez-Arellano, G., Cuesta, M., Chaplin, J. C., Larrinaga, F., Sanderson, D., Arrazola, P. J., & Ratchev, S. (2023, October). Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning. Presented at 56th CIRP Conference onManufacturing Systems, CIRP CMS ‘23, Cape Town, South Africa

In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing configurations are those that minim... Read More about Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning.

A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services (2023)
Journal Article
Rehman, H. U., Mo, F., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2024). A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services. Journal of Manufacturing Systems, 72, 424-436. https://doi.org/10.1016/j.jmsy.2023.12.004

The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in fea... Read More about A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Presentation / Conference Contribution
Martínez-Arellano, G., Niewiadomski, K., Mo, F., Elshafei, B., Chaplin, J. C., Mcfarlane, D., & Ratchev, S. (2023, July). Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling. Presented at IFAC World Congress 2023: The 22nd World Congress of the International Federation of Automatic Control, Yokohama, Japan

Resilience to supply chain disruptions and to changing product volumes and specifications are currently major challenges for the manufacturing sector. To maintain quality and productivity, manufacturers need to be able to respond to disruption using... Read More about Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling.

Deep Dynamic Layout Optimisation of Photogrammetry Camera Position based on Digital Twin (2023)
Journal Article
Wang, L., Wang, Z., Kendall, P., Gumma, K., Turner, A., & Ratchev, S. (2024). Deep Dynamic Layout Optimisation of Photogrammetry Camera Position based on Digital Twin. IEEE Transactions on Automation Science and Engineering, 21(4), 6176-6189. https://doi.org/10.1109/TASE.2023.3323088

The photogrammetry system has been widely used in industrial manufacturing applications, such as high-precision assembly, reverse engineering and additive manufacturing. In order to meet the demand of the product variety and short product lifecycle,... Read More about Deep Dynamic Layout Optimisation of Photogrammetry Camera Position based on Digital Twin.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Presentation / Conference Contribution
Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2023, September). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. Presented at Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK

In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Digital-twin deep dynamic camera position optimisation for the V-STARS photogrammetry system based on 3D reconstruction (2023)
Journal Article
Wang, L., Wang, Z., Kendall, P., Gumma, K., Turner, A., & Ratchev, S. (2024). Digital-twin deep dynamic camera position optimisation for the V-STARS photogrammetry system based on 3D reconstruction. International Journal of Production Research, 62(11), 3932-3951. https://doi.org/10.1080/00207543.2023.2252108

Photogrammetry systems are widely used in industrial manufacturing applications as an assistance measurement tool. Not only does it provide high-precision feedback for assembly process inspection and product quality assessment, but also it can improv... Read More about Digital-twin deep dynamic camera position optimisation for the V-STARS photogrammetry system based on 3D reconstruction.

PLC orchestration automation to enhance human–machine integration in adaptive manufacturing systems (2023)
Journal Article
Mo, F., Ugarte Querejeta, M., Hellewell, J., Rehman, H. U., Illarramendi Rezabal, M., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2023). PLC orchestration automation to enhance human–machine integration in adaptive manufacturing systems. Journal of Manufacturing Systems, 71, 172-187. https://doi.org/10.1016/j.jmsy.2023.07.015

Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and data-driven methodologies to devel... Read More about PLC orchestration automation to enhance human–machine integration in adaptive manufacturing systems.

Semantic models and knowledge graphs as manufacturing system reconfiguration enablers (2023)
Journal Article
Mo, F., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2024). Semantic models and knowledge graphs as manufacturing system reconfiguration enablers. Robotics and Computer-Integrated Manufacturing, 86, Article 102625. https://doi.org/10.1016/j.rcim.2023.102625

Reconfigurable Manufacturing System (RMS) provides a cost-effective approach for manufacturers to adapt to fluctuating market demands by reconfiguring assets through automated analysis of asset utilization and resource allocation. Achieving this auto... Read More about Semantic models and knowledge graphs as manufacturing system reconfiguration enablers.