| Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey S Bandaru, AHC Ng, K Deb Expert Systems with Applications 70, 139-159, 2017 | 250 | 2017 |
| Multi-objective evolutionary optimisation for product design and manufacturing L Wang, AHC Ng, K Deb Springer, 2011 | 160 | 2011 |
| Digital Twin: Applying emulation for machine reconditioning M Ayani, M Ganebäck, AHC Ng Procedia Cirp 72, 243-248, 2018 | 150 | 2018 |
| Supporting the lean journey with simulation and optimization in the context of Industry 4.0 AG Uriarte, AHC Ng, MU Moris Procedia Manufacturing 25, 586-593, 2018 | 132 | 2018 |
| How can decision makers be supported in the improvement of an emergency department? A simulation, optimization and data mining approach AG Uriarte, ER Zúñiga, MU Moris, AHC Ng Operations Research for Health Care 15, 102-122, 2017 | 103 | 2017 |
| Bringing together Lean and simulation: a comprehensive review A Goienetxea Uriarte, AHC Ng, M Urenda Moris International Journal of Production Research 58 (1), 87-117, 2020 | 95 | 2020 |
| Balancing and scheduling assembly lines with human-robot collaboration tasks A Nourmohammadi, M Fathi, AHC Ng Computers & Operations Research 140, 105674, 2022 | 93 | 2022 |
| A simulation-based scheduling system for real-time optimization and decision making support M Frantzén, AHC Ng, P Moore Robotics and Computer-Integrated Manufacturing 27 (4), 696-705, 2011 | 90 | 2011 |
| Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling A Syberfeldt, A Ng, RI John, P Moore European Journal of Operational Research 204 (3), 533-544, 2010 | 90 | 2010 |
| A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks M Kumbhar, AHC Ng, S Bandaru Journal of manufacturing systems 66, 92-106, 2023 | 73 | 2023 |
| Dynamic implications of customer order decoupling point positioning P Hedenstierna, AHC Ng Journal of Manufacturing Technology Management 22 (8), 1032-1042, 2011 | 67 | 2011 |
| Industrial cost modelling and multi-objective optimisation for decision support in production systems development L Pehrsson, AHC Ng, D Stockton Computers & Industrial Engineering 66 (4), 1036-1048, 2013 | 61 | 2013 |
| Simulation-based decision support for manufacturing system life cycle management LJ De Vin, AHC Ng, J Oscarsson Journal of Advanced Manufacturing Systems 3 (02), 115-128, 2004 | 59 | 2004 |
| Multi-objective optimization for supply chain management: A literature review and new development T Aslam, HCN Amos 2010 8th International Conference on Supply Chain Management and Information …, 2010 | 55 | 2010 |
| Virtual manufacturing for press line monitoring and diagnostics AHC Ng, J Adolfsson, M Sundberg, LJ De Vin International Journal of Machine Tools and Manufacture 48 (5), 565-575, 2008 | 51 | 2008 |
| Optimizing real-world factory flows using aggregated discrete event simulation modelling: Creating decision-support through simulation-based optimization and knowledge-extraction S Lidberg, T Aslam, L Pehrsson, AHC Ng Flexible Services and Manufacturing Journal 32 (4), 888-912, 2020 | 50 | 2020 |
| Information fusion for simulation based decision support in manufacturing LJ De Vin, AHC Ng, J Oscarsson, SF Andler Robotics and Computer-Integrated Manufacturing 22 (5-6), 429-436, 2006 | 49 | 2006 |
| Integration of data mining and multi-objective optimisation for decision support in production systems development C Dudas, AHC Ng, L Pehrsson, H Boström International Journal of Computer Integrated Manufacturing 27 (9), 824-839, 2014 | 48 | 2014 |
| A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance G Linnéusson, AHC Ng, T Aslam European Journal of Operational Research 281 (2), 402-414, 2020 | 44 | 2020 |
| On the performance of classification algorithms for learning Pareto-dominance relations S Bandaru, AHC Ng, K Deb 2014 IEEE Congress on evolutionary computation (CEC), 1139-1146, 2014 | 44 | 2014 |
