Dr David Sanderson's Outputs (29)

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 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.

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, 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.

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.

Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models (2023)
Book Chapter
Torayev, A., Wang, Z., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2023). Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models. In L.-C. Tang (Ed.), Industrial Engineering and Applications (3-12). IOS Press. https://doi.org/10.3233/ATDE230025

In this work, we optimize manufacturing configurations, i.e., the set of necessary assets, using the known capabilities and capacities of manufacturing equipment. In particular, the work provides an Object-Oriented data model and the translation of t... Read More about Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models.

Online and Modular Energy Consumption Optimization of Industrial Robots (2023)
Journal Article
Torayev, A., Martinez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024). Online and Modular Energy Consumption Optimization of Industrial Robots. IEEE Transactions on Industrial Informatics, 20(2), 1198-1207. https://doi.org/10.1109/TII.2023.3272692

Industrial robots contribute to a considerable amount of energy consumption in manufacturing. However, modeling the energy consumption of industrial robots is a complex problem as it requires considering components such as the robot controller, fans... Read More about Online and Modular Energy Consumption Optimization of Industrial Robots.

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., Maffei, 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, October). Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process. Presented at IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium

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.

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, June). A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin. Presented at Flexible Automation and Intelligent Manufacturing International Conference (FAIM 2022), Detroit, USA

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.

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., Popov, A. A., & Ratchev, S. M. (2022, June). Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components. Presented at International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2022), Detroit, USA

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.

Reference Architecture for Space Production Systems (2022)
Presentation / Conference Contribution
Sanderson, D., Brown, A., Leadbetter, J., Gordon, A., Shires, E., & Ratchev, S. (2022, June). Reference Architecture for Space Production Systems. Presented at eucass-3AF 2022 9th European Conference for Aeronautics and Space Sciences, Lille, France

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.

Towards Modular and Plug-and-Produce Manufacturing Apps (2022)
Presentation / Conference Contribution
Torayev, A., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2022, June). Towards Modular and Plug-and-Produce Manufacturing Apps. Presented at 55th CIRP Conference on Manufacturing Systems “Leading Manufacturing Systems Transformation”, Lugano, Switzerland

Industry 4.0 redefines manufacturing systems as smart and connected systems where software solutions provide additional capabilities to the manufacturing equipment. However, the connection of manufacturing equipment with software solutions is challen... Read More about Towards Modular and Plug-and-Produce Manufacturing Apps.

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. (2020, December). Context-Aware Plug and Produce for Robotic Aerospace Assembly. Presented at IPAS 2020: 9th International Precision Assembly Seminar, Kitzbühel, Austria

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. Affordable data integration approach for production enterprises. Presented at 53rd CIRP Conference on Manufacturing Systems, Chicago, Illinois, USA

© 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. Implementing large-scale Aerospace Assembly 4.0 demonstration systems?. Presented at 21st IFAC World Congress, Berlin, Germany

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. Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project. Presented at AeroTech Americas 2019

© 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.