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All Outputs (42)

Development of an affordable and auto-reconfigurable solution for small box assembly (2022)
Presentation / Conference Contribution
Wang, Z., Kendall, P., Gumma, K., Smith, A., Turner, A., & Ratchev, S. (2022, June). Development of an affordable and auto-reconfigurable solution for small box assembly. Paper presented at 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France

The aerospace manufacturing industry has been using dedicated assembly systems with manual processes for decades. Not only is this labour-intensive, it is also extremely wasteful as no reuse is possible at the end of a product life cycle. As automati... Read More about Development of an affordable and auto-reconfigurable solution for small box assembly.

A data analytics model for improving process control in flexible manufacturing cells (2022)
Journal Article
Martínez-Arellano, G., Nguyen, T., Hinton, C., & Ratchev, S. (2022). A data analytics model for improving process control in flexible manufacturing cells. Decision Analytics Journal, 3, Article 100075. https://doi.org/10.1016/j.dajour.2022.100075

With the need of more responsive and resilient manufacturing processes for high value, customised products, Flexible Manufacturing Systems (FMS) remain a very relevant manufacturing approach. Due to their complexity, quality monitoring in these types... Read More about A data analytics model for improving process control in flexible manufacturing cells.

Application of Multi Agent Systems for Leak Testing (2021)
Presentation / Conference Contribution
Rehman, H. U., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2021). Application of Multi Agent Systems for Leak Testing. . https://doi.org/10.1109/ICSC50472.2021.9666580

The manufacturing of customised products is a driver in the trend of incorporating intelligence in the system. This intelligence is required to enable the system to self-conFigure processes to meet the requirements of unique products. This work deals... Read More about Application of Multi Agent Systems for Leak Testing.

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions (2021)
Presentation / Conference Contribution
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.

Cloud Based Decision Making for Multi-Agent Production Systems (2021)
Presentation / Conference Contribution
Rehman, H. U., Pulikottil, T., Estrada-Jimenez, L. A., Mo, F., Chaplin, J. C., Barata, J., & Ratchev, S. (2021). Cloud Based Decision Making for Multi-Agent Production Systems. In Progress in Artificial Intelligence (673-686). https://doi.org/10.1007/978-3-030-86230-5_53

The use of multi-agent systems (MAS) as a distributed control method for shop-floor manufacturing control applications has been extensively researched. MAS provides new implementation solutions for smart manufacturing requirements such as the high dy... Read More about Cloud Based Decision Making for Multi-Agent Production Systems.

A Framework for Self-Configuration in Manufacturing Production Systems (2021)
Presentation / Conference Contribution
Rehman, H. U., Chaplin, J. C., Zarzycki, L., & Ratchev, S. (2021). A Framework for Self-Configuration in Manufacturing Production Systems. . https://doi.org/10.1007/978-3-030-78288-7_7

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves-called self-configuration. This paper describes a framework for utilising d... Read More about A Framework for Self-Configuration in Manufacturing Production Systems.

Application of advanced simulation methods for the tolerance analysis of mechanical assemblies (2021)
Presentation / Conference Contribution
Bacharoudis, K., Popov, A., & Ratchev, S. (2021). Application of advanced simulation methods for the tolerance analysis of mechanical assemblies. . https://doi.org/10.1007/978-3-030-72632-4_11

In the frame of a statistical tolerance analysis of complex assemblies, for example an aircraft wing, the capability to predict accurately and fast specified, very small quantiles of the distribution of the assembly key characteristic becomes crucial... Read More about Application of advanced simulation methods for the tolerance analysis of mechanical assemblies.

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.

Tool Wear Classification using Time Series Imaging and Deep Learning (2019)
Journal Article
Martínez-Arellano, G., Terrazas, G., & Ratchev, S. (2019). Tool Wear Classification using Time Series Imaging and Deep Learning. International Journal of Advanced Manufacturing Technology, 104(9-12), 3647–3662. https://doi.org/10.1007/s00170-019-04090-6

Tool Condition Monitoring (TCM) has become essential to achieve high quality machining as well as cost-effective production. Identification of the cutting tool state during machining before it reaches its failure stage is critical. This paper present... Read More about Tool Wear Classification using Time Series Imaging and Deep Learning.

Towards an active learning approach to tool condition monitoring with Bayesian deep learning (2019)
Presentation / Conference Contribution
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.

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.

Deployment of a distributed multi-agent architecture for transformable assembly (2018)
Presentation / Conference Contribution
Chaplin, J. C., & Ratchev, S. (2018). Deployment of a distributed multi-agent architecture for transformable assembly. In Precision assembly in the digital age (15-28). https://doi.org/10.1007/978-3-030-05931-6_2

Industry 4.0 represents a new philosophy in manufacturing systems, based on networked, intelligent, and cooperative resources. This revolution is necessary to make the cost-effective production of batch-size-of-one customised items in high-value manu... Read More about Deployment of a distributed multi-agent architecture for transformable assembly.

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.

Redesign methodology for mechanical assembly (2017)
Journal Article
El-Nounu, A., Popov, A., & Ratchev, S. (in press). Redesign methodology for mechanical assembly. Research in Engineering Design, https://doi.org/10.1007/s00163-017-0255-6

Design for assembly is the concept of carrying out critical thought early in the design stage to create assembly easement at the production stage. In the aerospace industry, products have very long lives, frequently being optimised rather than introd... Read More about Redesign methodology for mechanical assembly.

Variation Aware Assembly Systems for Aircraft Wings (2016)
Presentation / Conference Contribution
Vaughan, D. R., Bakker, O. J., Branson, D. T., & Ratchev, S. (2016). Variation Aware Assembly Systems for Aircraft Wings. In SAE Technical Paper Series. https://doi.org/10.4271/2016-01-2106

Aircraft manufacturers desire to increase production to keep up with anticipated demand. To achieve this, the aerospace industry requires a significant increase in the manufacturing and assembly performance to reach required output levels. This work... Read More about Variation Aware Assembly Systems for Aircraft Wings.

A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms (2016)
Journal Article

This paper presents a methodology for the transformation of a product concept into a detailed design and manufacturing process chain for hybrid manufacturing platforms. Hybrid platforms offer new capabilities and opportunities for product design. How... Read More about A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms.