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
Procedia CIRP
2025. Article.
https://doi.org/10.1016/j.procir.2025.03.018
23rd International Industrial Simulation Conference, ISC 2025
2025. Conference paper.
Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part III
2025. Conference paper. https://doi.org/10.1007/978-3-031-93845-0_25
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
23rd International Industrial Simulation Conference, ISC 2025
2025. Conference paper.
Simulation in Produktion und Logistik 2025
2025. Conference paper.
https://doi.org/10.25368/2025.276
Journal of Air Transport Management
2025. Article.
https://doi.org/10.1016/j.jairtraman.2024.102684
IEEE Access
2025. Article, review.
https://doi.org/10.1109/ACCESS.2025.3596632
International Journal of Forest Engineering
2025. Article.
https://doi.org/10.1080/14942119.2025.2533083
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
Ongoing projects
Future-Proof Factories: The SMART Way to Resilient Production
How can factories keep running when energy prices rise, machines break down, or labour conditions change suddenly? The SMART project explores this question by redefining how manufacturing works in Sweden. Its focus is on creating systems that are not only stronger and more adaptable but also environmentally responsible and centred around people.
December 2025 - November 2029 67951LITMUS: 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 67951Virtual 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 67951Finished projects
Industry 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 - December 2025 67951Production 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 67951Interactive 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 67951OPTIMisation 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 67951