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 Genetic Algorithm for Bi-Objective Assembly Line Balancing ProblemNourmohammadi Amir, Fathi Masood, Ruiz Zúñiga Enrique et al.Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK (519-524). Amsterdam: IOS Press, 2019.
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, 2019.
An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem
Fathi 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.
Bringing together Lean and simulation: a comprehensive review
Goienetxea Ainhoa, Ng Amos H.C., Urenda Moris MatíasInternational Journal of Production Research, 2019.
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.
Management of virtual models with provenance information in the context of product lifecycle management: industrial case studies
Morshedzadeh Iman, Ng Amos H. C., Amouzgar KavehProduct Lifecycle Management (Volume 4): The Case Studies (153-170). Cham: Springer, 2019.
Metamodel based multi-objective optimization of a turning process by using finite element simulation
Amouzgar Kaveh, Bandaru Sunith, Andersson Tobias et al.Engineering optimization (Print), 2019.
Optimizing real-world factory flows using aggregated discrete event simulation modelling: Creating decision-support through simulation-based optimization and knowledge-extraction
Lidberg Simon, Aslam Tehseen, Pehrsson Leif et al.Flexible Services and Manufacturing Journal, 2019.