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All Outputs (64)

Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences (2024)
Conference Proceeding
El Raoui, H., Quigley, J., Aslan, A., Vasantha, G., Hanson, J., Corney, J., & Sherlock, A. (2024). Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. In 2023 Winter Simulation Conference (WSC) (1304-1315). https://doi.org/10.1109/WSC60868.2023.10407667

Conventional methods used to elicit risk-taking preferences have demonstrated significant disparities with real-world behaviours, compromising the validity of the data collected. Serious gaming (SG) provides a high potential to bridge this gap. This... Read More about Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences.

Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers (2023)
Journal Article
Vasantha, G., Corney, J., & Upadhyay, C. K. (2023). Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers. Knowledge, 3(4), 626-641. https://doi.org/10.3390/knowledge3040039

Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrated into advanced software and algorithms. However, crowdsourcing tasks are p... Read More about Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers.

Experiences of Design for Disability in Collaborating with Students and Industries (2023)
Book Chapter
Harris, N., & Vasantha, G. (in press). Experiences of Design for Disability in Collaborating with Students and Industries. In Future of Design Education: InFuSED23. Springer

This chapter looks at the design and engineering of products to assist people with disability. It looks at the process that companies, disability organisations and universities employ to help develop aids and products that solve various needs. Althou... Read More about Experiences of Design for Disability in Collaborating with Students and Industries.

Hierarchical ensemble deep learning for data-driven lead time prediction (2023)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (2023). Hierarchical ensemble deep learning for data-driven lead time prediction. International Journal of Advanced Manufacturing Technology, 128(9-10), 4169-4188. https://doi.org/10.1007/s00170-023-12123-4

This paper focuses on data-driven prediction of lead times for product orders based on the real-time production state captured at the arrival instants of orders in make-to-order production environments. In particular, we consider a sophisticated manu... Read More about Hierarchical ensemble deep learning for data-driven lead time prediction.

A Knowledge Graph Approach for State-of-the-Art Implementation of Industrial Factory Movement Tracking System (2023)
Conference Proceeding
Vasantha, G., Aslan, A., Hanson, J., El-Raoui, H., Corney, J., & Quigley, J. (2024). A Knowledge Graph Approach for State-of-the-Art Implementation of Industrial Factory Movement Tracking System. In Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. Proceedings of FAIM 2023, June 18–22, 2023, Porto, Portugal, Volume 2: Industrial Management (1194-1204). https://doi.org/10.1007/978-3-031-38165-2_136

Digital sensing technologies are essential for realizing Industry 4.0, as they enhance productivity, assist with real-time decision-making, and provide flexibility and agility in manufacturing factories. However, implementing these technologies can b... Read More about A Knowledge Graph Approach for State-of-the-Art Implementation of Industrial Factory Movement Tracking System.

Movement Tracking-Based In-Situ Monitoring System for Additive Manufacturing (2023)
Conference Proceeding
Vasantha, G., Aslan, A., Lapok, P., Lawson, A., & Thomas, S. (2024). Movement Tracking-Based In-Situ Monitoring System for Additive Manufacturing. In Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. Proceedings of FAIM 2023, June 18–22, 2023, Porto, Portugal, Volume 1: Modern Manufacturing (388-398). https://doi.org/10.1007/978-3-031-38241-3_44

Monitoring and identification of defects during additive manufacturing is mostly done by bespoke optical or acoustic measurement systems. These in-situ monitoring technologies are either intrusive or sensitive to noisy manufacturing environments. We... Read More about Movement Tracking-Based In-Situ Monitoring System for Additive Manufacturing.

Data-driven Discovery of Manufacturing Processes and Performance from Worker Localisation (2023)
Conference Proceeding
Aslan, A., El-Raoui, H., Hanson, J., Vasantha, G., Quigley, J., & Corney, J. (2024). Data-driven Discovery of Manufacturing Processes and Performance from Worker Localisation. In Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems: Proceedings of FAIM 2023, June 18–22, 2023, Porto, Portugal, Volume 1: Modern Manufacturing (592-602). https://doi.org/10.1007/978-3-031-38241-3_67

In complex manufacturing industries that are not fully automated and involve human workers it is important to identify deviations from the planned production schedule and locate bottlenecks for improved efficiency. This is not an easy task as it requ... Read More about Data-driven Discovery of Manufacturing Processes and Performance from Worker Localisation.

Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing (2023)
Journal Article
Aslan, A., El-Raoui, H., Hanson, J., Vasantha, G., Quigley, J., Corney, J., & Sherlock, A. (2023). Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing. Sensors, 23(10), Article 4928. https://doi.org/10.3390/s23104928

This paper provides a novel methodology for human-driven decision support for capacity allocation in labour-intensive manufacturing systems. In such systems (where output depends solely on human labour) it is essential that any changes aimed at impro... Read More about Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing.

Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing (2023)
Dataset
Aslan, A., El-Raoui, H., Hanson, J., Vasantha, G., Quigley, J., Corney, J., & Sherlock, A. (2023). Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing. [Dataset]. https://doi.org/10.17869/enu.2023.3100035

This data contains the worker position datasets (including the event logs) and the source codes of the discrete event simulation that are used in the research article titled "Using Worker Position Data for Human-Driven Decision Support in Labour-inte... Read More about Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing.

Agent based simulation of workers’ behaviours around hazard areas in manufacturing sites (2023)
Conference Proceeding
El Raoui, H., Quigley, J., Aslan, A., Vasantha, G., Hanson, J., Corney, J., & Sherlock, A. (2023). Agent based simulation of workers’ behaviours around hazard areas in manufacturing sites. In C. Currie, & L. Rhodes-Leader (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23) (86-95). https://doi.org/10.36819/SW23.010

Rewards for risk taking behaviour by workers (if accidents do not occur) can be realised in the form of increased productivity or worker idle time. However, frequent unsafe behaviours of workers inevitably results in accidents and an associated loss... Read More about Agent based simulation of workers’ behaviours around hazard areas in manufacturing sites.

Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements (2022)
Conference Proceeding
Vasantha, G., Purves, D., Corney, J., Canavan, M., Quigley, J., & Sherlock, A. (2022). Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements. In Advances in Manufacturing Technology XXXV (187-192). https://doi.org/10.3233/atde220589

Training novice production engineers to design manufacturing fixtures is a time-consuming process involving significant input from experienced experts. Motivated by the vision of providing an intelligent support system for general mechanical design,... Read More about Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements.

Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse (2022)
Journal Article
Vasantha, G., Purves, D., Quigley, J., Corney, J., Sherlock, A., & Randika, G. (2022). Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse. Artificial intelligence for engineering design, analysis and manufacturing : AI EDAM, 36, Article e17. https://doi.org/10.1017/S0890060422000014

This research envisages an automated system to inform engineers when opportunities occur to use existing features or configurations during the development of new products. Such a system could be termed a `predictive CAD system' because it would be a... Read More about Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse.

Design as a Marked Point Process (2021)
Journal Article
Quigley, J., Vasantha, G., Corney, J., Purves, D., & Sherlock, A. (2022). Design as a Marked Point Process. Journal of Mechanical Design, 144(2), Article 021713. https://doi.org/10.1115/1.4052844

Although AI systems which support composition using predictive text are well established there are no analogous technologies for mechanical design. Motivated by the vision of a predictive system that interactively suggests features to designer, this... Read More about Design as a Marked Point Process.

Common design structures and substitutable feature discovery in CAD databases (2021)
Journal Article
Vasantha, G., Purves, D., Quigley, J., Corney, J., Sherlock, A., & Randika, G. (2021). Common design structures and substitutable feature discovery in CAD databases. Advanced engineering informatics, 48, Article 101261. https://doi.org/10.1016/j.aei.2021.101261

It has been widely reported that the reuse of previously created components, or features, in new engineering designs will improve the efficiency of a company’s product development process. Although the reuse of engineering components has established... Read More about Common design structures and substitutable feature discovery in CAD databases.

A Probabilistic Design Reuse Index for Engineering Designs (2020)
Journal Article
Vasantha, G., Corney, J., Stuart, S., Sherlock, A., Quigley, J., & Purves, D. (2020). A Probabilistic Design Reuse Index for Engineering Designs. Journal of Mechanical Design, 142(10), Article 101401. https://doi.org/10.1115/1.4046435

Many companies offer a range of related products that are constructed using similar components and processes. This enables them to meet customer expectations of product variety while minimising the overheads (e.g. development and manufacturing costs)... Read More about A Probabilistic Design Reuse Index for Engineering Designs.

A New Approach for Patent Use in Student Design Engineering Projects (2018)
Conference Proceeding
Maclachlan, R., Wodehouse, A., & Vasantha, G. (2018). A New Approach for Patent Use in Student Design Engineering Projects. In Design Education: Diversity or Conformity? Proceedings of the 20th International Conference on Engineering and Product Design Education (E&PDE18)

This paper presents a new philosophy for patent use in student design projects; patents are more valuable when viewed as creative and learning resources rather than as a list of prior art to be considered for infringement. A practical approach to pat... Read More about A New Approach for Patent Use in Student Design Engineering Projects.

A Probabilistic Design Reuse Index (2018)
Conference Proceeding
Vasantha, G., Sherlock, A., Corney, J., & Quigley, J. (2018). A Probabilistic Design Reuse Index. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference

The benefits of being able to create a number of product variations from a limited range of components, or sub-assemblies, are widely recognized. Indeed it is clear that companies who can effectively reuse elements of existing designs when creating n... Read More about A Probabilistic Design Reuse Index.

Realising the affective potential of patents: a new model of database interpretation for user-centred design (2018)
Journal Article
Wodehouse, A., Vasantha, G., Corney, J., Jagadeesan, A., & MacLachlan, R. (2018). Realising the affective potential of patents: a new model of database interpretation for user-centred design. Journal of Engineering Design, 29(8-9), 484-511. https://doi.org/10.1080/09544828.2018.1448056

This research sets out a new interpretation of the patent database using affective design parameters. While this resource contains a vast quantity of technical information, its extraction and use in practical design settings is extremely challenging.... Read More about Realising the affective potential of patents: a new model of database interpretation for user-centred design.