Publications

Smarter facility layout design : leveraging worker localisation data to minimise travel time and alleviate congestion

Aslan Ayse, Vasantha Gokula, El Raoui Hanane, Quigley John, Hanson Jack, Corney Jonathan, Sherlock Andrew

International Journal of Production Research Vol 63, pp. 1326-1353 (2025)

https://doi.org/10.1080/00207543.2024.2374847

Safer and efficient factory by predicting worker trajectories using spatio-temporal graph attention networks

Sarvan Kumar Satya, Vasantha Gokula, Corney Jonathan, Hanson Jack, Quigley John, El Raoui Hanane, Thompson Nathan, Sherlock Andrew

ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (2024)

https://doi.org/10.1115/DETC2024-143048

Safer and efficient assemblies : harnessing real time worker movements with digital twins

Sarvan Kumar Satya, Vasantha Gokula, Marzano Adelaide, Corney Jonathan, Hanson Jack, Quigley John, El Raoui Hanane, Thompson Nathan, Sherlock Andrew

21st International Conference on Manufacturing Research (2024)

Prototype pipeline modelling using interval scanning point clouds

Pečur Toa, Bosché Frédéric, Cerniauskas Gabrielis, Mill Frank, Sherlock Andrew, Yu Nan

Advances in Manufacturing (2024)

https://doi.org/10.1007/s40436-024-00515-y

Design of a serious game for safety in manufacturing industry using hybrid simulation modelling : towards eliciting risk preferences

El-Raoui Hanane, Quigley John, Aslan Ayse, Vasantha Gokula, Hanson Jack, Corney Jonathan, Sherlock Andrew

2023 Winter Simulation Conference (2023)

Hierarchical ensemble deep learning for data-driven lead time prediction

Aslan Ayse, Vasantha Gokula, El-Raoui Hanane, Quigley John, Hanson Jack, Corney Jonathan, Sherlock Andrew

The International Journal of Advanced Manufacturing Technology Vol 128, pp. 4169-4188 (2023)

https://doi.org/10.1007/s00170-023-12123-4

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Professional Activities

AI and workplace cultures: Scottish AI summit 2023

Participant

28/3/2023

Industry 4.0: Can AI Ethics be Embedded in the Innovation Lifecycle?

Organiser

9/5/2022

More professional activities

Projects

DIGF-CRAD-07206 Data-driven Manufacturing Colab - extension

Sherlock, Andrew (Principal Investigator)

01-Jan-2025 - 31-Jan-2026

CTA AI in Manufacturing Programme

Reshetov, Aleksey (Principal Investigator) Sherlock, Andrew (Principal Investigator) Wilson, David (Fellow)

The CTA programme seeks to target, identify, down select Canadian technology solutions providers specialising in Artificial Intelligence (AI) software and mentor those companies in how to market and deploy their software solutions within the UK manufacturing sector.
NMIS and appropriate sub-contractors will assist in this process ensuring that the chosen companies have appropriate maturity in their solutions and seek to provide engagements to manufacturing organisations across various sectors i.e. automative, aerospace, renewable energy and etc.

31-Jan-2024 - 21-Jan-2025

BAE Manufacturing Technologies Foresighting Study

Mehnen, Jorn (Principal Investigator) Oterkus, Erkan (Co-investigator) Sherlock, Andrew (Co-investigator)

01-Jan-2024 - 31-Jan-2024

DIGF-CRAD-06277: Stratellite - Space & Photonics Glasgow Impact Accelerator

Bomphray, Iain (Principal Investigator) Sherlock, Andrew (Co-investigator)

01-Jan-2023 - 31-Jan-2025

DIGF-CRAD-06294: Data-driven Manufacturing Colab Innovation Accelerator

Sherlock, Andrew (Principal Investigator) McArthur, Stephen (Co-investigator)

01-Jan-2023 - 31-Jan-2025

The Role of Hydrogen in the Decarbonisation of the Steel Industry

Steward, Elise (Principal Investigator) Quigley, John (Principal Investigator) Roberts, Jen (Principal Investigator) Sherlock, Andrew (Principal Investigator)

This is an interdisciplinary and international research project in collaboration with the University of Waterloo, Canada, which aims to identify the key gaps, barriers and priorities for further research regarding the role of hydrogen in the decarbonising the steel industry, upstream and downstream in the UK and Ontario. The National Manufacturing Institute of Scotland (NMIS) has formed a conglomerate of industrial partners from the UK forging industry and furnace companies to develop hydrogen powered furnace technology for the forging process. This project will supplement their study by evaluating the decision problem from the perspective of the industrialist. Interviews will be conducted with key businesses and stakeholders across the steel industries of the UK and Ontario, to acquire a deep understanding of the barriers, enablers, consequences and uncertainties of industrial processes and hydrogen adoption, thus ultimately informing the development of a novel decision-making framework to assist the sustainable transition of the industry. 

This project will add substantial value to the existing knowledge of hydrogen implementation since barriers will be recognised and potential solutions provided. A report will also be produced which will comprise a review of existing processes, potential opportunities for decarbonisation across both production and processing, discussion of the issue from an industry-wide perspective (including consideration of carbon emissions and ‘net-zero’ objectives, carbon taxes, government policy, and hydrogen colour classification), modelling (hydrogen production and storage, transportation and utilisation), prospective risks and rewards (hydrogen embrittlement, costs, technology replacement), and a decision analysis.

Supervisors include: Prof John Quigley, Management Science; Dr Jen Roberts, Civil & Environmental Engineering; and Dr Andrew Sherlock, NMIS.

01-Jan-2022 - 01-Jan-2023

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