Publications

Integrating remake DPP and remanufacturing decision engine to enable the next wave of SME remanufacturers

Munawar Syed Awais H, Hoffmann Moritz, Knorn Steffi, Howie Scott, Fitzpatrick Stephen

International Conference on Industry of the Future and Smart Manufacturing, pp. 1-10 (2025)

Made2Verify : a scalable GS1-compliant resolver and fallback dashboard for digital product passports

Howie Scott, Munawar Syed Awais, Reimer Andreas, Fitzpatrick Stephen

International Conference on Industry of the Future and Smart Manufacturing, pp. 1-8 (2025)

Enabling remanufacturing with Digital Product Passports : the ReMake DPP

Munawar Syed, Reimer Andreas, Howie Scott Ronald, Adu-Amankwa Kwaku, Kerr William, Fitzpatrick Stephen

7th International conference on remanufacturing (ICoR 2025 ), pp. 1-15 (2025)

Designing the journey for inclusivity and accessibility in virtual manufacturing environments : an exploration through empathy

Grech Amy, Howie Scott, Munawar Syed Awais, Wodehouse Andrew, Brisco Ross

21st International Conference on Manufacturing Research (2024)

https://doi.org/10.1051/matecconf/202440107005

Industry 4.0 design reviews : a conceptual virtual reality interface

Howie Scott Ronald, Liang Sha, Grech Amy, Munawar Syed Awais, Gilardi Marco

ICIEAEU '23 , pp. 273-282 (2023)

https://doi.org/10.1145/3587889

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Professional Activities

NMIS Digital Twin Event

Recipient

6/12/2023

NMIS Hackathon: Embracing the future of digital manufacturing

Chair

17/11/2023

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Projects

Virtual maintenance and training of fish farms through photogrammetry and virtual reality

Munawar, Syed Awais (Principal Investigator) Howie, Scott (Researcher)

This feasibility study investigated the application of virtual reality (VR) and underwater photogrammetry for remote maintenance and training within the aquaculture sector. The project involved creating a "digital twin"—a photorealistic 3D model of a fish farm—which enabled personnel to conduct virtual inspections and pre-dive familiarisation. The initiative aimed to evaluate the technology's potential to reduce operational costs, minimise diver risks, and enhance training effectiveness.

01-Jan-2022 - 31-Jan-2022

COnnected REconfigurable Factory

Ward, Michael (Principal Investigator) McMahon, Daniel (Co-investigator) Munawar, Syed Awais (Project Lead) Howie, Scott (Researcher) Henry, Gwenole (Researcher) Duncan, William (Researcher) Liang, Sha (Researcher)

The Connected Reconfigurable Factory (COREF) project is a Thales UK-led collaborative initiative to develop digitally connected, scalable laboratory environments that demonstrate the factory of the future. This multi-partner project involves the National Manufacturing Institute Scotland (NMIS), Manufacturing Technology Centre (MTC), and supply chain partners to create low-risk, real-world testing environments for advanced manufacturing technologies. The project focuses on developing reconfigurable production systems that can be rapidly adapted to different manufacturing requirements, incorporating digital connectivity, automation, and Industry 4.0 principles. COREF serves as both a technology demonstrator and an industrial development platform, providing facilities and expertise to support UK supply chain advancement in smart manufacturing capabilities.

01-Jan-2021 - 31-Jan-2024

AFRC_CATP_1684_High Accuracy FutureForge Training System

Liang, Sha (Principal Investigator) Khatuntseva, Anastasia (Researcher) Huang, Jianfeng (Researcher) Munawar, Syed Awais (Researcher)

This proposal will aim to address the challenge of training operators of dangerous equipment following the previous simulator. This proposal looks to streamline the learning process by allowing operators to train on the equipment using the same controls that they will be using to operate it when they are performing forging operations. Specifically, within the forging sector, this proposal will also address the challenge of transferring tacit knowledge that is built up through years of experience in using the equipment. This will be done by allowing new operators to log hundreds of hours of training time, which can be led by a standard pre-programmed curriculum or by an expert supervisor.

01-Jan-2020 - 31-Jan-2021

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