Professor i automatiseringstek
Institutionen för ingenjörsvetenskap
Professor of Automation Engineering
Academic & Professional Qualifications
- BEng, MPhil, PhD
- Chartered Engineer (CEng), United Kingdom
- Member of the Institution of Engineering and Technology (MIET), United Kingdom
Production simulation, multi-objective optimization of production systems, simulation-based optimization, simulation-based innovization.
An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problemFathi Masood, Nourmohammadi Amir, Ng Amos H. C. et al.Engineering computations, 2019.
An optimization model for balancing assembly lines with stochastic task times and zoning constraints
Fathi Masood, Nourmohammadi Amir, Ng Amos H. C. et al.IEEE Access, 2019, 7, 32537-32550.
Choosing efficient meta-heuristics to solve the assembly line balancing problem: A landscape analysis approach
Nourmohammadi Amir, Fathi Masood, Ng Amos H. C.Procedia CIRP, 2019, 81, 1248-1253.
Introducing simulation and optimization in the Lean continuous improvement standards in an automotive company
Goienetxea Uriarte Ainhoa, Sellgren Tommy, Ng Amos H. C. et al.Proceedings of the Winter Simulation Conference, Gothenburg, December 9-12, 2018 (3352-3363). Piscataway, New Jersey: IEEE, 2019.
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space
Bandaru Sunith, Ng Amos H. C.Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings (605-617). Cham, Switzerland: Springer, 2019.
A framework for simulation based multi-objective optimization and knowledge discovery of machining processAmouzgar Kaveh, Bandaru Sunith, Andersson Tobias J. et al.The International Journal of Advanced Manufacturing Technology, 2018, 98(9-12), 2469-2486.
A hybrid simulation-based optimization framework for supporting strategic maintenance to improve production performance
Linnéusson Gary, Ng Amos H. C., Aslam TehseenEuropean Journal of Operational Research, 2018.
A linked data approach for the connection of manufacturing processes with production simulation models
Senington Richard, Baumeister Fabian, Ng Amos et al.Procedia CIRP, 2018, 70, 440-445.
An empirical comparison of metamodeling strategies in noisy environments
Bandaru Sunith, Ng Amos H. C.Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2018) (817-824). New York, NY, USA: ACM Digital Library, 2018.
Assembly Line Balancing Type-E with Technological Requirement: A Mathematical Model
Fathi Masood, Nourmohammadi Amir, Ng Amos H. C.Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (183-188). Amsterdam: IOS Press, 2018.