Amos Ng

Academic & Professional Qualifications
- BEng, MPhil, PhD
- Chartered Engineer (CEng), United Kingdom
- Member of the Institution of Engineering and Technology (MIET), United Kingdom
Research Interests
Production simulation, multi-objective optimization of production systems, simulation-based optimization, simulation-based innovization.
Research
2025
Computers & Operations Research
2025. Article.
https://doi.org/10.1016/j.cor.2025.107011
Procedia Computer Science
2025. Article.
https://doi.org/10.1016/j.procs.2025.01.314
Journal of Air Transport Management
2025. Article.
https://doi.org/10.1016/j.jairtraman.2024.102684
2024
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.10.219
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240168
Procedia Computer Science
2024. Article.
https://doi.org/10.1016/j.procs.2024.02.128
33rd EURO Conference 2024, Technical University of Denmark (DTU), Copenhagen, 30 Jun 2024 to 3 Jul 2024
2024. Conference paper, oral presentation with abstract.
Journal of manufacturing systems
2024. Article.
https://doi.org/10.1016/j.jmsy.2023.11.019
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240189
Computers & industrial engineering
2024. Article.
https://doi.org/10.1016/j.cie.2023.109775
2023
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Ongoing projects
LITMUS: Enabling the Transition from Industry 4.0 to Industry 5.0
In the LITMUS project, researchers are exploring how companies can transition from today’s Industry 4.0 to the new Industry 5.0 by smartly utilizing their existing technologies. The goal is to combine efficient production with improved economic, social, and environmental sustainability.
September 2024 - August 2028 Virtual EngineeringVirtual Factories of the Future
Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.
October 2018 - September 2026 Virtual EngineeringIndustry 4.0 and Agile Manufacturing
Manufacturing industries are constantly challenged by the market to improve product quality, increase production efficiency, ensure safety, and enhance sustainability. In this project, the team will be analyzing the interactions between digital systems and the physical world to see: Is it possible, with the target users’ satisfaction and safety in focus, to integrate optimization-enabled Digital Twins with Augmented Reality and other advanced sensing technologies to drive manufacturing companies toward a more agile configuration and operation in the industry 4.0 era?
September 2021 - August 2025 Virtual EngineeringFinished projects
Production of the next generation powertrains
The goal of the project is to create the required conditions for continuous innovation and developments connected to electric powertrains and efficient value chains to facilitate the production of the new generation of electric powertrains to take place in Sweden, and not through, e.g., outsourcing. The project is up and running, and the steering committee meets once a month.
May 2018 - August 2020 Virtual EngineeringInteractive Decision Support using Simulation-based Innovization
Designing or improving a manufacturing system involves a series of complex decisions over time to satisfy the strategic objectives of the company. To select the optimal parameters of the system entities so as to achieve the desired overall performance of the system is a very complex task that has been proven to be difficult for a decision maker in the design/improvement process.
April 2014 - March 2017 Virtual EngineeringOPTIMisation using Intelligent Simulation Tools
The overall aim of this proposed multi-discipline (industrial engineering and computer science) project is to leverage the effectiveness of the Swedish industrial and service sectors, by introducing the state-of-the-art simulation technology, namely simulation-based intelligent optimisation, to their system design and daily operations.
April 2008 - March 2011 Virtual Engineering