All Outputs (85)

Improving the development and reusability of Industrial AI through Semantic Models (2024)
Conference Proceeding

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

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.

Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning (2023)
Journal Article

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

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

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)
Conference Proceeding

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

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

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

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

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.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Conference Proceeding

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

'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.

Online and Modular Energy Consumption Optimization of Industrial Robots (2023)
Journal Article

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.

Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems (2023)
Journal Article

Aerospace manufacturing is improving its productivity and growth by expanding its capacity for production by investing in new tools and more equipment to provide additional capacity and flexibility in the face of widespread supply disruptions and unp... Read More about Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems.

A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence (2023)
Journal Article

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

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

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 Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin (2022)
Conference Proceeding

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)
Conference Proceeding

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.

An Adaptive, Repeatable and Rapid Auto-Reconfiguration Process in a Smart Manufacturing System for Small Box Assembly (2022)
Presentation / Conference

With increasing demand for productivity, flexibility , and sustainability, there is the need for a flexible manufacturing system that is auto-reconfigurable for variations in product types and assembly processes. However, the repeata-bility of reconf... Read More about An Adaptive, Repeatable and Rapid Auto-Reconfiguration Process in a Smart Manufacturing System for Small Box Assembly.