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.
A hybrid simulation-based optimization framework for supporting strategic maintenance to improve production performanceLinnéusson Gary, Ng Amos H. C., Aslam TehseenEuropean Journal of Operational Research, 2018.
Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation
Linnéusson Gary, Ng Amos H. C., Aslam TehseenJournal of Simulation, 2018, 12(2), 171-189.
Radial basis functions with a priori bias as surrogate models: A comparative study
Amouzgar Kaveh, Bandaru Sunith, Ng Amos H. C.Engineering applications of artificial intelligence, 2018, 71, 28-44.
Relating strategic time horizons and proactiveness in equipment maintenance: a simulation-based optimization study
Linnéusson Gary, Ng Amos H. C., Aslam Tehseen51st CIRP Conference on Manufacturing Systems. 2018.
Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry
Linnéusson Gary, Ng Amos H. C., Aslam TehseenInternational Journal of Production Economics, 2018, 200, 151-169.
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective OptimizationSiegmund Florian, Ng Amos H. C., Deb KalyanmoyEvolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings (560-574). Springer, 2017.
Combining augmented reality and simulation-based optimization for decision support in manufacturing
Karlsson Ingemar, Bernedixen Jacob, Ng Amos H. C. et al.Proceedings of the 2017 Winter Simulation Conference (3988-3999). Institute of Electrical and Electronics Engineers (IEEE), 2017.
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
Bandaru Sunith, Ng Amos H. C., Deb KalyanmoyExpert systems with applications, 2017, 70, 139-159.
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications
Bandaru Sunith, Ng Amos H. C., Deb KalyanmoyExpert systems with applications, 2017, 70, 119-138.
How can decision makers be supported in the improvement of an emergency department?: A simulation, optimization and data mining approach
Goienetxea Uriarte Ainhoa, Ruiz Zúñiga Enrique, Urenda Moris Matías et al.Operations Research for Health Care, 2017, 15, 102-122.