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All Outputs (10)

Improving the development and reusability of Industrial AI through Semantic Models (2024)
Conference Proceeding
Martínez-Arellano, G., & Ratchev, S. (in press). Improving the development and reusability of Industrial AI through Semantic Models.

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.

Investigating multi-level ontology to support manufacturing during demand fluctuation (2023)
Conference Proceeding
Kazantsev, N., Niewiadomski, K., Martínez-Arellano, G., Elshafei, B., Mo, F., & Murthy, S. R. (2023). Investigating multi-level ontology to support manufacturing during demand fluctuation. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1752

Responding to demand fluctuations represents a challenge for manufacturers, as they often face resource limitations and cannot assess all potential solutions. This paper presents a low-cost semantic engineering solution (ontology) to coordinate poten... Read More about Investigating multi-level ontology to support manufacturing during demand fluctuation.

Methodology for Digital Transformation: A Continuous Improvement Approach (2023)
Conference Proceeding
Hernández Oliver, K., Martínez-Arellano, G., & Segal, J. (2023). Methodology for Digital Transformation: A Continuous Improvement Approach. In 1st Workshop on Low-Cost Digital Solutions for Industrial Automation

Digital technologies have the potential to significantly transform the manufacturing industry by achieving improvements in productivity, quality and sustainability. Despite this, the uptake is relatively low as companies face a number of challenges i... Read More about Methodology for Digital Transformation: A Continuous Improvement Approach.

Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study (2023)
Conference Proceeding
Hernández Oliver, K. H., Martínez-Arellano, G., & Segal, J. (2023). Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study. In 1st Workshop on Low-Cost Digital Solutions for Industrial Automation

The use of digital technologies around the world has increased considerably, modifying the way in which daily activities are conducted. The manufacturing sector is no exception. Over the last decade, digital technologies have become a key element for... Read More about Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Conference Proceeding
Martínez-Arellano, G., Niewiadomski, K., Mo, F., Elshafei, B., Chaplin, J. C., Mcfarlane, D., & Ratchev, S. (2023). Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling.

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.

Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience (2023)
Conference Proceeding
Kazantsev, N., Niewiadomski, K., El-Shafei, B., Murthy, S. R., Chaplin, J., Martínez-Arellano, G., …Minshall, T. (2023). Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience.

'Black swan' events-such as military conflicts, pandemics, and semiconductor crises-drastically change product volume and mix patterns and shorten how long manufacturers have to cost-effectively respond to them. This is a particular challenge for hig... Read More about Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience.

A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions (2021)
Conference Proceeding
Ling, Z., de Silva, L., Hawkridge, G., McFarlane, D., Martínez-Arellano, G., Schönfuß, B., & Thorne, A. (2021). A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA’21

Digital solutions have the potential to drastically transform manufacturing operations, but smaller manufacturing businesses (SMEs) have been reluctant to adopt digital solutions due to perceived investment and upskilling costs. The Digital Manufactu... Read More about A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions.

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions (2021)
Conference Proceeding
Martínez-Arellano, G., McNally, M. J., Chaplin, J. C., Ling, Z., McFarlane, D., & Ratchev, S. (2021). Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA’21

The rate of adoption of digital solutions in manufacturing environments remains low despite the benefits these can bring. This is particularly acute among industrial small and medium enterprises (SMEs), who typically do not have the confidence to ado... Read More about Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions.

Towards an active learning approach to tool condition monitoring with Bayesian deep learning (2019)
Conference Proceeding
Martinez Arellano, G., & Ratchev, S. (2019). Towards an active learning approach to tool condition monitoring with Bayesian deep learning

With the current advances in the Internet of Things (IoT), smart sensors and Artificial Intelligence (AI), a new generation of condition monitoring solutions for smart manufacturing is starting to emerge. Computer Numerical Control (CNC) machines can... Read More about Towards an active learning approach to tool condition monitoring with Bayesian deep learning.