Skip to main content

Research Repository

Advanced Search

Outputs (23)

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 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.

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.

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.

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.