All Outputs (18)

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.

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

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.

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). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1736

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.

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.

Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process (2022)
Presentation / Conference Contribution
Jimenez, L. A. E., Sanderson, D., Chaplin, J. C., & Barata, J. (2022). Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON49645.2022.9968868

Self-configuration in manufacturing is a key trend to generate adaptable production systems. Different product requirements need different machine settings and continuous software update. Existing approaches usually assume that manufacturing resource... Read More about Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process.

Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components (2022)
Presentation / Conference Contribution
Papadaki, A. R., Bacharoudis, K., Bainbridge, D., Burbage, N., Turner, A., Sanderson, D., …Ratchev, S. M. (2023). Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components. In Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA (394-403). https://doi.org/10.1007/978-3-031-18326-3_38

The classical approach to the creation of assembly work instructions for high value, complex products is time-consuming and prone to error. It requires a process engineer to write the work instructions step-by-step and manually insert specific techni... Read More about Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components.

A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin (2022)
Presentation / Conference Contribution
Mo, F., Chaplin, J. C., Sanderson, D., Rehman, H. U., Monetti, F. M., Maffei, A., & Ratchev, S. (2022). A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin. In Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19-23, 2022, Detroit, Michigan, USA, Volume 2 (361-373). https://doi.org/10.1007/978-3-031-18326-3_35

The application of digital twins and artificial intelligence to manufacturing has shown potential in improving system resilience, responsiveness, and productivity. Traditional digital twin approaches are generally applied to single, static systems to... Read More about A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin.

Reference Architecture for Space Production Systems (2022)
Presentation / Conference Contribution
Sanderson, D., Brown, A., Leadbetter, J., Gordon, A., Shires, E., & Ratchev, S. (2022). Reference Architecture for Space Production Systems. In 9th European Conference for Aeronautics and Space Sciences

In this paper, we propose a conceptual framework and reference architecture for space production systems (SPS). A review of the existing digital architecture approaches and standards for space systems identifies a number of potential avenues. Based o... Read More about Reference Architecture for Space Production Systems.

Context-Aware Plug and Produce for Robotic Aerospace Assembly (2021)
Presentation / Conference Contribution
Sanderson, D., Shires, E., Chaplin, J. C., Brookes, H., Liaqat, A., & Ratchev, S. (2021). Context-Aware Plug and Produce for Robotic Aerospace Assembly. . https://doi.org/10.1007/978-3-030-72632-4_13

Aerospace production systems face increasing requirements for flexibility and reconfiguration, along with considerations of cost, utilisation, and efficiency. This drives a need for systems with a small number of automation platforms (e.g. industrial... Read More about Context-Aware Plug and Produce for Robotic Aerospace Assembly.

Affordable data integration approach for production enterprises (2020)
Presentation / Conference Contribution
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2020). Affordable data integration approach for production enterprises. Procedia CIRP, 93, 616-621. https://doi.org/10.1016/j.procir.2020.04.124

© 2020 The Authors. The manufacturing industries in a number of high-labour-cost economies are undergoing a shift towards increased automation and intelligence typified by the ‘Industry 4.0' paradigm. Advances from computer science research including... Read More about Affordable data integration approach for production enterprises.

Implementing large-scale Aerospace Assembly 4.0 demonstration systems? (2020)
Presentation / Conference Contribution
Sanderson, D., Turner, A., Shires, E., Chaplin, J. C., & Ratchev, S. (2020). Implementing large-scale Aerospace Assembly 4.0 demonstration systems?. IFAC papers online, 53(2), 10267-10274. https://doi.org/10.1016/j.ifacol.2020.12.2759

The Future Automated Aerospace Assembly phase 1 technology Demonstrator (FA3D) was commissioned at the University of Nottingham and used to demonstrate concepts from the EPSRC Evolvable Assembly Systems project in specific industrial use cases. A num... Read More about Implementing large-scale Aerospace Assembly 4.0 demonstration systems?.

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.

Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project (2019)
Presentation / Conference Contribution
Sanderson, D., Turner, A., Shires, E., Chaplin, J., & Ratchev, S. (2019). Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project. SAE Technical Papers, Article 2019-01-1363. https://doi.org/10.4271/2019-01-1363

© 2019 SAE International. All Rights Reserved. Evolvable Assembly Systems is a five year UK research council funded project into flexible and reconfigurable manufacturing systems. The principal goal of the research programme has been to define and va... Read More about Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project.

Conceptual framework for ubiquitous cyber-physical assembly systems in airframe assembly (2018)
Presentation / Conference Contribution
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2018). Conceptual framework for ubiquitous cyber-physical assembly systems in airframe assembly.

Current sectoral drivers for the manufacturing of complex products - such as airframe assembly -require new manufacturing system paradigms to meet them. In this paper, we propose a conceptual framework for cyber-physical systems driven by ubiquitous... Read More about Conceptual framework for ubiquitous cyber-physical assembly systems in airframe assembly.

Common shared system model for evolvable assembly systems (2018)
Presentation / Conference Contribution
Sanderson, D., Chaplin, J., & Ratchev, S. (2018). Common shared system model for evolvable assembly systems.

A vital aspect of distributed control in an adaptable production system is coherence between each system resource. The Evolvable Assembly Systems project addresses this challenge using a common shared system model. This paper provides an overview of... Read More about Common shared system model for evolvable assembly systems.

Functional modelling in evolvable assembly systems (2018)
Presentation / Conference Contribution
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2018). Functional modelling in evolvable assembly systems.

The design and reconfiguration of adaptive production systems is a key driver in modern advanced manufacturing. We summarise the use of an ap-proach from the field of functional modelling to capture the function, behaviour, and structure of a system.... Read More about Functional modelling in evolvable assembly systems.