| Cyber-physical systems in manufacturing L Monostori, B Kádár, T Bauernhansl, S Kondoh, S Kumara, G Reinhart, ... Cirp Annals 65 (2), 621-641, 2016 | 1911 | 2016 |
| Cyber-physical production systems: Roots, expectations and R&D challenges L Monostori Procedia Cirp 17, 9-13, 2014 | 1590 | 2014 |
| Agent-based systems for manufacturing L Monostori, J Váncza, SRT Kumara CIRP annals 55 (2), 697-720, 2006 | 897 | 2006 |
| Complexity in engineering design and manufacturing W ElMaraghy, H ElMaraghy, T Tomiyama, L Monostori CIRP annals 61 (2), 793-814, 2012 | 767 | 2012 |
| Value creation and decision-making in sustainable society K Ueda, T Takenaka, J Váncza, L Monostori CIRP annals 58 (2), 681-700, 2009 | 333 | 2009 |
| Hierarchy in distributed shop floor control L Bongaerts, L Monostori, D McFarlane, B Kádár Computers in Industry 43 (2), 123-137, 2000 | 275 | 2000 |
| Machine learning approaches to manufacturing L Monostori, A Márkus, H Van Brussel, E Westkämpfer CIRP annals 45 (2), 675-712, 1996 | 274 | 1996 |
| A survey of applications and requirements of unique identification systems and RFID techniques E Ilie-Zudor, Z Kemény, F Van Blommestein, L Monostori, ... Computers in Industry 62 (3), 227-252, 2011 | 269 | 2011 |
| AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing L Monostori Engineering applications of artificial intelligence 16 (4), 277-291, 2003 | 239 | 2003 |
| Emergent synthesis methodologies for manufacturing K Ueda, A Márkus, L Monostori, HJJ Kals, T Arai CIRP annals 50 (2), 535-551, 2001 | 215 | 2001 |
| Cooperative and responsive manufacturing enterprises J Váncza, L Monostori, D Lutters, SR Kumara, M Tseng, P Valckenaers, ... CIRP annals 60 (2), 797-820, 2011 | 201 | 2011 |
| A market approach to holonic manufacturing A Márkus, TK Vancza, L Monostori CIRP annals 45 (1), 433-436, 1996 | 179 | 1996 |
| A step towards intelligent manufacturing: Modelling and monitoring of manufacturing processes through artificial neural networks L Monostori, J Prohaszka CIRP annals 42 (1), 485-488, 1993 | 172 | 1993 |
| Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer L Lingitz, V Gallina, F Ansari, D Gyulai, A Pfeiffer, W Sihn, L Monostori Procedia Cirp 72, 1051-1056, 2018 | 164 | 2018 |
| Biologicalisation: Biological transformation in manufacturing G Byrne, D Dimitrov, L Monostori, R Teti, F van Houten, R Wertheim CIRP Journal of Manufacturing Science and Technology 21, 1-32, 2018 | 163 | 2018 |
| Evolution and future of manufacturing systems H ElMaraghy, L Monostori, G Schuh, W ElMaraghy CIRP Annals 70 (2), 635-658, 2021 | 150 | 2021 |
| The RFID technology and its current applications E Ilie-Zudor, Z Kemeny, P Egri, L Monostori Conference Proceedings of the Modern Information Technology in the …, 2006 | 143 | 2006 |
| From plant and logistics control to multi-enterprise collaboration SY Nof, G Morel, L Monostori, A Molina, F Filip Annual Reviews in Control 30 (1), 55-68, 2006 | 137 | 2006 |
| An object-oriented framework for developing distributed manufacturing architectures B Ka´ da´ r, L Monostori, E Szelke Journal of Intelligent Manufacturing 9, 173-179, 1998 | 133 | 1998 |
| Stability-oriented evaluation of rescheduling strategies, by using simulation A Pfeiffer, B Kádár, L Monostori Computers in Industry 58 (7), 630-643, 2007 | 117 | 2007 |
| Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals K Patra, AK Jha, T Szalay, J Ranjan, L Monostori Precision Engineering 48, 279-291, 2017 | 110 | 2017 |
| A system for the detailed scheduling of wind farm maintenance A Kovacs, G Erdős, ZJ Viharos, L Monostori CIRP annals 60 (1), 497-501, 2011 | 99 | 2011 |
| Cooperative control in production and logistics L Monostori, P Valckenaers, A Dolgui, H Panetto, M Brdys, BC Csáji Annual Reviews in Control 39, 12-29, 2015 | 96 | 2015 |
| Lead time prediction in a flow-shop environment with analytical and machine learning approaches D Gyulai, A Pfeiffer, G Nick, V Gallina, W Sihn, L Monostori IFAC-PapersOnLine 51 (11), 1029-1034, 2018 | 92 | 2018 |
| Complexity-based modeling of reconfigurable collaborations in production industry G Schuh, L Monostori, BC Csáji, S Döring CIRP annals 57 (1), 445-450, 2008 | 84 | 2008 |
| Neural networks—Their applications and perspectives in intelligent machining D Barschdorff, L Monostori Computers in Industry 17 (2-3), 101-119, 1991 | 83 | 1991 |
| Enhanced control of complex production structures by tight coupling of the digital and the physical worlds B Kádár, A Lengyel, L Monostori, Y Suginishi, A Pfeiffer, Y Nonaka CIRP annals 59 (1), 437-440, 2010 | 80 | 2010 |
| Artificial neural networks in intelligent manufacturing L Monostori, D Barschdorff Robotics and Computer-Integrated Manufacturing 9 (6), 421-437, 1992 | 79 | 1992 |
| Cyber-physical production systems: roots from manufacturing science and technology L Monostori at-Automatisierungstechnik 63 (10), 766-776, 2015 | 75 | 2015 |
| Advanced predictive-analysis-based decision support for collaborative logistics networks E Ilie-Zudor, A Ekárt, Z Kemeny, C Buckingham, P Welch, L Monostori Supply Chain Management: An International Journal 20 (4), 369-388, 2015 | 72 | 2015 |
| Manufacturing lead time estimation with the combination of simulation and statistical learning methods A Pfeiffer, D Gyulai, B Kádár, L Monostori Procedia Cirp 41, 75-80, 2016 | 69 | 2016 |
| Discrete event simulation for supporting production planning and scheduling decisions in digital factories B Kádár, A Pfeiffer, L Monostori Proceedings of the 37th CIRP international seminar on manufacturing systems …, 2004 | 67 | 2004 |
| Cyber-physical systems L Monostori CIRP encyclopedia of production engineering, 1-8, 2018 | 61 | 2018 |
| Solution approaches to real-time control of customized mass production L Monostori, B Kádár, A Pfeiffer, D Karnok CIRP annals 56 (1), 431-434, 2007 | 60 | 2007 |
| Reinforcement learning in a distributed market-based production control system BC Csáji, L Monostori, B Kádár Advanced Engineering Informatics 20 (3), 279-288, 2006 | 60 | 2006 |
| Hybrid, AI-and simulation-supported optimisation of process chains and production plants L Monostori, ZJ Viharos CIRP Annals 50 (1), 353-356, 2001 | 60 | 2001 |
| Training and application of artificial neural networks with incomplete data ZJ Viharos, L Monostori, T Vincze Developments in Applied Artificial Intelligence: 15th International …, 2002 | 57 | 2002 |
| Robust production planning and control for multi-stage systems with flexible final assembly lines D Gyulai, A Pfeiffer, L Monostori International Journal of Production Research 55 (13), 3657-3673, 2017 | 56 | 2017 |
| Towards adaptive and digital manufacturing L Monostori, BC Csáji, B Kádár, A Pfeiffer, E Ilie-Zudor, Z Kemény, ... Annual reviews in Control 34 (1), 118-128, 2010 | 56 | 2010 |
| Satisfying various requirements in different levels and stages of machining using one general ANN-based process model L Monostori, ZJ Viharos, S Markos Journal of Materials Processing Technology 107 (1-3), 228-235, 2000 | 55 | 2000 |
| Management of changes and disturbances in manufacturing systems L Monostori, E Szelke, B Kádár Annual Reviews in Control 22, 85-97, 1998 | 54 | 1998 |
| Approaches to managing changes and uncertainties in manufacturing L Monostori, B Kádár, J Hornyák CIRP Annals 47 (1), 365-368, 1998 | 53 | 1998 |
| Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networks I Mezgár, C Egresits, L Monostori Computers in industry 33 (1), 61-70, 1997 | 53 | 1997 |
| Digital enterprise solution for integrated production planning and control L Monostori, G Erdős, B Kádár, T Kis, A Kovács, A Pfeiffer, J Váncza Computers in Industry 61 (2), 112-126, 2010 | 49 | 2010 |
| Capacity management for assembly systems with dedicated and reconfigurable resources D Gyulai, B Kádár, A Kovács, L Monostori CIRP Annals 63 (1), 457-460, 2014 | 47 | 2014 |
| Value function based reinforcement learning in changing Markovian environments. BC Csáji, L Monostori Journal of Machine Learning Research 9 (8), 2008 | 47 | 2008 |
| A coordination mechanism for rolling horizon planning in supply networks J Váncza, P Egri, L Monostori CIRP annals 57 (1), 455-458, 2008 | 45 | 2008 |
| Learning procedures in machine tool monitoring L Monostori Computers in Industry 7 (1), 53-64, 1986 | 44 | 1986 |
| Adaptation and learning in distributed production control L Monostori, BC Csáji, B Kadar CIRP Annals 53 (1), 349-352, 2004 | 42 | 2004 |
| Robust production planning and capacity control for flexible assembly lines D Gyulai, B Kádár, L Monosotori Ifac-Papersonline 48 (3), 2312-2317, 2015 | 41 | 2015 |
| Scheduling the maintenance of wind farms for minimizing production loss A Kovács, G Erdös, L Monostori, ZJ Viharos IFAC Proceedings Volumes 44 (1), 14802-14807, 2011 | 41 | 2011 |
| Capacity planning and resource allocation in assembly systems consisting of dedicated and reconfigurable lines D Gyulai, B Kádár, L Monostori Procedia Cirp 25, 185-191, 2014 | 40 | 2014 |
| Cyber-physical manufacturing in the light of Professor Kanji Ueda's legacy J Váncza, L Monostori Procedia Cirp 63, 631-638, 2017 | 36 | 2017 |
| An approach to determine simulation model complexity G Popovics, L Monostori Procedia CIRP 52, 257-261, 2016 | 35 | 2016 |
| Design and management of reconfigurable assembly lines in the automotive industry M Colledani, D Gyulai, L Monostori, M Urgo, J Unglert, F Van Houten CIRP Annals 65 (1), 441-446, 2016 | 35 | 2016 |
| An integrated framework for design, management and operation of reconfigurable assembly systems M Manzini, J Unglert, D Gyulai, M Colledani, JM Jauregui-Becker, ... Omega 78, 69-84, 2018 | 32 | 2018 |
| Matching demand and system structure in reconfigurable assembly systems D Gyulai, Z Vén, A Pfeiffer, J Váncza, L Monostori Procedia CIRP 3, 579-584, 2012 | 32 | 2012 |
| Design and assessment of quality control loops for stable business processes R Schmitt, L Monostori, H Glöckner, ZJ Viharos CIRP annals 61 (1), 439-444, 2012 | 32 | 2012 |
| On hybrid learning and its application in intelligent manufacturing L Monostori, C Egresits Computers in Industry 33 (1), 111-117, 1997 | 32 | 1997 |
| Generic data structure and validation methodology for simulation of manufacturing systems G Popovics, A Pfeiffer, L Monostori International Journal of Computer Integrated Manufacturing 29 (12), 1272-1286, 2016 | 31 | 2016 |
| Quality-oriented, comprehensive modelling of machining processes S Markos, ZJ Viharos, L Monostori Sixth ISMQC IMEKO symposium on metrology for quality control in production …, 1998 | 31 | 1998 |
| Towards high performance living manufacturing systems-A new convergence between biology and engineering G Byrne, O Damm, L Monostori, R Teti, F van Houten, K Wegener, ... CIRP journal of manufacturing science and technology 34, 6-21, 2021 | 30 | 2021 |
| Towards joint optimization of product design, process planning and production planning in multi-product assembly D Tsutsumi, D Gyulai, A Kovács, B Tipary, Y Ueno, Y Nonaka, L Monostori CIRP Annals 67 (1), 441-446, 2018 | 30 | 2018 |
| Capacity management of modular assembly systems D Gyulai, L Monostori Journal of Manufacturing Systems 43, 88-99, 2017 | 29 | 2017 |
| Supporting multi-level and robust production planning and execution N Stricker, A Pfeiffer, E Moser, B Kádár, G Lanza, L Monostori CIRP Annals 64 (1), 415-418, 2015 | 29 | 2015 |
| Adaptive stochastic resource control: a machine learning approach BC Csáji, L Monostori Journal of Artificial Intelligence Research 32, 453-486, 2008 | 29 | 2008 |
| Reactive scheduling in real time production control E Szelke, L Monostori Modeling Manufacturing Systems: From Aggregate Planning to Real-Time Control …, 1999 | 29 | 1999 |
| Evaluating and improving production control systems by using emulation A Pfeiffer, B Kádár, L Monostori Applied Simulation and Modelling, 2003 | 28 | 2003 |
| Improving multi-agent based scheduling by neurodynamic programming BC Csáji, B Kádár, L Monostori Holonic and Multi-Agent Systems for Manufacturing: First International …, 2003 | 27 | 2003 |
| AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing L Monostori IFAC Proceedings Volumes 35 (1), 119-130, 2002 | 27 | 2002 |
| Generating alternative process plans for complex parts Y Nonaka, G Erdős, T Kis, A Kovács, L Monostori, T Nakano, J Váncza CIRP Annals 62 (1), 453-458, 2013 | 26 | 2013 |
| Increased transparency within and beyond organizational borders by novel identifier-based services for enterprises of different size L Monostori, E Ilie-Zudor, Z Kemény, M Szathmári, D Karnok CIRP annals 58 (1), 417-420, 2009 | 26 | 2009 |
| Simulation as one of the core technologies for digital enterprises: assessment of hybrid rescheduling methods A Pfeiffer, B Kádár, L Monostori, D Karnok International Journal of Computer Integrated Manufacturing 21 (2), 206-214, 2008 | 26 | 2008 |
| Automatic input-output configuration and generation of ANN-based process models and their application in machining ZJ Viharos, L Monostori International Conference on Industrial, Engineering and Other Applications …, 1999 | 26 | 1999 |
| Soft computing and hybrid AI approaches to intelligent manufacturing L Monostori, J Hornyák, C Egresits, ZJ Viharos Tasks and Methods in Applied Artificial Intelligence: 11th International …, 1998 | 26 | 1998 |
| Design of complex adaptive systems: Introduction L Monostori, K Ueda Advanced engineering informatics 3 (20), 223-225, 2006 | 25 | 2006 |
| Agent-based control of manufacturing systems L Monostori, B Kádár Proceedings of the Second International Conference on Intelligent Processing …, 1999 | 25 | 1999 |
| Cutting tool monitoring in turning under varying cutting conditions: an artificial neural network approach D Barschdorff, L Monostori, T Kottenstede, G Warnecke, M Muller Proceedings of the 6th international conference on Industrial and …, 1993 | 25 | 1993 |
| Flow-shop scheduling based on reinforcement learning algorithm P Stefan Production Systems and Information Engineering 1 (1), 83-90, 2003 | 24 | 2003 |
| Hybrid AI approaches for supervision and control of manufacturing processes L Monostori Polish Academy of Sciences, 1995 | 24 | 1995 |
| Simulation-based production planning and execution control for reconfigurable assembly cells D Gyulai, A Pfeiffer, B Kádár, L Monostori Procedia Cirp 57, 445-450, 2016 | 23 | 2016 |
| Agent‐based framework for pre‐contractual evaluation of participants in project‐delivery supply‐chains E Ilie‐Zudor, L Monostori Assembly Automation 29 (2), 137-153, 2009 | 23 | 2009 |
| Multistrategy learning approaches to generate and tune fuzzy control structures and their application in manufacturing C Egresits, L Monostori, J Hornyák Journal of Intelligent Manufacturing 9, 323-329, 1998 | 23 | 1998 |
| Real-life scheduling using constraint programming and simulation A Kovács, J Váncza, B Kádár, L Monostori, A Pfeiffer IFAC Proceedings Volumes 36 (3), 233-238, 2003 | 22 | 2003 |
| Agent-Based control of novel and traditional production systems B Kádár, L Monostori Univ. of Naples" Frederico II", 1998 | 22 | 1998 |
| Reactive and proactive scheduling with learning in reactive operation management E Szelke, L Monostori IFIP, 1995 | 22 | 1995 |
| Multiprocessor systems for connectionist diagnosis of technical processes D Barschdorff, L Monostori, AF Ndenge, GW Wöstenkühler Computers in Industry 17 (2-3), 131-145, 1991 | 22 | 1991 |
| Towards living manufacturing systems L Monostori, J Váncza Procedia CIRP 93, 323-328, 2020 | 21 | 2020 |
| A holistic approach for quality oriented maintenance planning supported by data mining methods R Glawar, Z Kemeny, T Nemeth, K Matyas, L Monostori, W Sihn Procedia cIRP 57, 259-264, 2016 | 21 | 2016 |
| Complementary research and education opportunities—a comparison of learning factory facilities and methodologies at TU Wien and MTA SZTAKI Z Kemény, J Nacsa, G Erdős, R Glawar, W Sihn, L Monostori, E Ilie-Zudor Procedia CIRP 54, 47-52, 2016 | 21 | 2016 |
| Towards the realization of digital enterprises L Monostori, J Váncza, A Márkus, B Kádár, ZJ Viharos Proceedings of the 36th CIRP International Seminar on Manufacturing Systems …, 2003 | 21 | 2003 |
| Multipurpose modelling and optimisation of production processes and process chains by combining machine learning and search techniques L Monostori, ZJ Viharos Proc. of The 32nd CIRP Int. Sem. on Manufacturing Systems, May, 24-26, 1999 | 21 | 1999 |
| Real-time, cooperative enterprises for customised mass production L Monostori, T Kis, J Váncza, B Kádár, G Erdős International Journal of Computer Integrated Manufacturing 22 (1), 55-68, 2009 | 20 | 2009 |
| Learning and cooperation in a distributed market-based production control system BC Csáji, L Monostori, B Kádár Proceedings of the 5th International Workshop on Emergent Synthesis, 109-116, 2004 | 20 | 2004 |
| Optimization of process chains by artificial neuronal networks and genetic algorithms using quality control charts ZJ Viharos, L Monostori Proceedings of the 8th International DAAAM Symposium, 353-356, 1997 | 20 | 1997 |
| New trends in machine tool monitoring and diagnostics L Monostori Robotics and Computer-Integrated Manufacturing 4 (3-4), 457-464, 1988 | 20 | 1988 |
| Adaptive algorithms in distributed resource allocation BC Csáji, L Monostori Proceedings of the 6th international workshop on emergent synthesis (IWES 06), 2006 | 19 | 2006 |
| Approaches to coupling connectionist and expert systems in intelligent manufacturing D Barschdorff, L Monostori, GW Wöstenkühler, C Egresits, B Kádár Computers in Industry 33 (1), 5-15, 1997 | 19 | 1997 |
| Modelling and monitoring of milling through neuro-fuzzy techniques L Monostori, C Egresits IFAC Proceedings Volumes 27 (4), 463-468, 1994 | 19 | 1994 |
| Selection of input and output variables of ANN-based modelling of cutting processes ZJ Viharos, L Monostori, S Markos Proc of the X. International Workshop on Supervising and Diagnostics of …, 1999 | 18 | 1999 |
