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      University of Skövde, link to startpage

      Amos Ng

      Professor of Automation Engineering
      School of Engineering Science
      Room PA210T

      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

      2024

      Ehsan Mahmoodi, Masood Fathi, Madjid Tavana, Morteza Ghobakhloo, Amos H. C. Ng

      Journal of manufacturing systems

      2024. Article. https://doi.org/10.1016/j.jmsy.2023.11.019 Open Access

      Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng

      Computers & industrial engineering

      2024. Article. https://doi.org/10.1016/j.cie.2023.109775 Open Access

      2023

      Carlos Alberto Barrera Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng

      Mathematics

      2023. Article. https://doi.org/10.3390/math11061527 Open Access

      Magnus Holm, Amos H. C. Ng, Dan Högberg, Anna Syberfeldt

      2023. Editor (collection). Open Access

      Mahesh Kumbhar, Amos H. C. Ng, Sunith Bandaru

      Journal of manufacturing systems

      2023. Article. https://doi.org/10.1016/j.jmsy.2022.11.016 Open Access

      Amir Nourmohammadi, Amos H. C. Ng, Masood Fathi, Janneke Vollebregt, Lars Hanson

      CIRP - Journal of Manufacturing Science and Technology

      2023. Article. https://doi.org/10.1016/j.cirpj.2023.09.002 Open Access

      2022

      Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng

      Proceedings of the 2022 Winter Simulation Conference

      2022. Conference paper. https://doi.org/10.1109/WSC57314.2022.10015335

      Mahesh Kumbhar, Amos H. C. Ng, Sunith Bandaru

      SPS2022: Proceedings of the 10th Swedish Production Symposium

      2022. Conference paper. https://doi.org/10.3233/ATDE220192 Open Access

      Ongoing projects

      Virtual 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 Engineering

      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 - August 2025 Virtual Engineering

      Finished projects

      Integrated platform for future manufacturing

      Future manufacturing will be characterized by the complementarity between humans and automation, especially regarding the production of highly customizable products.

      January 2017 - December 2020 Virtual Engineering

      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 Engineering

      Efficient Equipment Engineering (E3)

      The project is within the area of Industry 4.0 closely related to the application and technical solutions proposed by Efficient Equipment Engineering E3.

      July 2016 - June 2018 Virtual Engineering

      Interactive 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 Engineering

      OPTIMisation 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
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se