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All Outputs (17)

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.

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.

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. (2023). Deep Dynamic Layout Optimisation of Photogrammetry Camera Position based on Digital Twin. IEEE Transactions on Automation Science and Engineering, 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.

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., …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.

A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence (2023)
Journal Article
Mo, F., Rehman, H. U., Monetti, F. M., Chaplin, J. C., Sanderson, D., Popov, A., …Ratchev, S. (2023). A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence. Robotics and Computer-Integrated Manufacturing, 82, Article 102524. https://doi.org/10.1016/j.rcim.2022.102524

Digital twins and artificial intelligence have shown promise for improving the robustness, responsiveness, and productivity of industrial systems. However, traditional digital twin approaches are often only employed to augment single, static systems... Read More about A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence.

An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems (2022)
Journal Article
Scrimieri, D., Adalat, O., Afazov, S., & Ratchev, S. (2022). An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems. International Journal of Advanced Manufacturing Technology, 124(3-4), 1155-1168. https://doi.org/10.1007/s00170-022-10553-0

Industry 4.0 promotes highly automated mechanisms for setting up and operating flexible manufacturing systems, using distributed control and data-driven machine intelligence. This paper presents an approach to reconfiguring distributed production sys... Read More about An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems.

Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing (2022)
Journal Article
Rehman, H. U., Chaplin, J. C., Zarzycki, L., Mo, F., Jones, M., & Ratchev, S. (2022). Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing. IFAC-PapersOnLine, 55(10), 1852-1857. https://doi.org/10.1016/j.ifacol.2022.09.668

The rise in demand for customised products and lower costs has generated the need for incorporating intelligence in production systems. Intelligence is the main driver for enabling intelligent control in production systems to meet feature, part and c... Read More about Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing.

A data analytics model for improving process control in flexible manufacturing cells (2022)
Journal Article
Martínez-Arellano, G., Nguyen, T., Hinton, C., & Ratchev, S. (2022). A data analytics model for improving process control in flexible manufacturing cells. Decision Analytics Journal, 3, Article 100075. https://doi.org/10.1016/j.dajour.2022.100075

With the need of more responsive and resilient manufacturing processes for high value, customised products, Flexible Manufacturing Systems (FMS) remain a very relevant manufacturing approach. Due to their complexity, quality monitoring in these types... Read More about A data analytics model for improving process control in flexible manufacturing cells.

Tool Wear Classification using Time Series Imaging and Deep Learning (2019)
Journal Article
Martínez-Arellano, G., Terrazas, G., & Ratchev, S. (2019). Tool Wear Classification using Time Series Imaging and Deep Learning. International Journal of Advanced Manufacturing Technology, 104(9-12), 3647–3662. https://doi.org/10.1007/s00170-019-04090-6

Tool Condition Monitoring (TCM) has become essential to achieve high quality machining as well as cost-effective production. Identification of the cutting tool state during machining before it reaches its failure stage is critical. This paper present... Read More about Tool Wear Classification using Time Series Imaging and Deep Learning.

A Function-Behaviour-Structure design methodology for adaptive production systems (2019)
Journal Article
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2019). A Function-Behaviour-Structure design methodology for adaptive production systems. International Journal of Advanced Manufacturing Technology, 1-12. https://doi.org/10.1007/s00170-019-03823-x

Adaptive production systems are a key trend in modern advanced manufacturing. This stems from the requirement for the system to respond to disruption , either in the form of product changes or changes to other operational parameters. The design and r... Read More about A Function-Behaviour-Structure design methodology for adaptive production systems.

Redesign methodology for mechanical assembly (2017)
Journal Article
El-Nounu, A., Popov, A., & Ratchev, S. (in press). Redesign methodology for mechanical assembly. Research in Engineering Design, https://doi.org/10.1007/s00163-017-0255-6

Design for assembly is the concept of carrying out critical thought early in the design stage to create assembly easement at the production stage. In the aerospace industry, products have very long lives, frequently being optimised rather than introd... Read More about Redesign methodology for mechanical assembly.

A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms (2016)
Journal Article

This paper presents a methodology for the transformation of a product concept into a detailed design and manufacturing process chain for hybrid manufacturing platforms. Hybrid platforms offer new capabilities and opportunities for product design. How... Read More about A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms.