| Value stream mapping and system dynamics integration for manufacturing line modelling and analysis D Stadnicka, P Litwin International Journal of Production Economics 208, 400-411, 2019 | 122 | 2019 |
| Mapping industry 4.0 enabling technologies into united nations sustainability development goals M M. Mabkhot, P Ferreira, A Maffei, P Podržaj, M Mądziel, D Antonelli, ... Sustainability 13 (5), 2560, 2021 | 80 | 2021 |
| Multiple System Dynamics and Discrete Event Simulation for manufacturing system performance evaluation D Antonelli, P Litwin, D Stadnicka Procedia CIRP 78, 178-183, 2018 | 48 | 2018 |
| Human factor in intelligent manufacturing systems-knowledge acquisition and motivation D Stadnicka, P Litwin, D Antonelli Procedia CIRP 79, 718-723, 2019 | 44 | 2019 |
| Value stream and system dynamics analysis–an automotive case study D Stadnicka, P Litwin Procedia Cirp 62, 363-368, 2017 | 36 | 2017 |
| Toward a sustainable educational engineer archetype through Industry 4.0 F Lupi, MM Mabkhot, M Finžgar, P Minetola, D Stadnicka, A Maffei, ... Computers in Industry 134, 103543, 2022 | 25 | 2022 |
| Human factor in industry of the future: Knowledge acquisition and motivation D Stadnicka, P Litwin, D Antonelli FME Transactions 47 (4), 823-830, 2019 | 14 | 2019 |
| Experimental and numerical study of open structural profile bending process F Stachowicz, P Litwin, W Frącz Archives of Metallurgy and Materials 50 (4), 893-907, 2005 | 12 | 2005 |
| Computer modeling and simulation in engineering education: Intended learning outcomes development P Litwin, D Stadnicka Advances in Manufacturing II: Volume 3-Quality Engineering and Management …, 2019 | 11 | 2019 |
| VSM based system dynamics analysis to determine manufacturing processes performance indicators D Stadnicka, P Litwin 24th International Conference on Production Research, ICPR, 290-295, 2017 | 10 | 2017 |
| Efficient inverted index compression algorithm characterized by faster decompression compared with the golomb-rice algorithm A Chmielowiec, P Litwin Entropy 23 (3), 296, 2021 | 5 | 2021 |
| Dynamic simulation based optimization of information flow in extended enterprise and its impact on business partners production efficiency and stock replenishment P Litwin, J Jakieła, M Olech Advances in manufacturing science and technology 40 (1), 33-45, 2016 | 5 | 2016 |
| Disabled employees on the manufacturing line: Simulations of impact on performance and benefits for companies P Litwin, D Antonelli, D Stadnicka IFAC-PapersOnLine 55 (10), 848-853, 2022 | 4 | 2022 |
| Methods of data mining for quality assurance in glassworks Ł Paśko, P Litwin Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019 | 4 | 2019 |
| Multiagent based simulation as a supply chain analysis workbench J Jakieła, P Litwin, M Olech Transactions on Computational Collective Intelligence VI, 84-104, 2012 | 4 | 2012 |
| Prototyp platformy symulacji wieloagentowej rozszerzonych przedsiębiorstw J Jakieła, P Litwin, M Olech Studia Informatica 32 (2B), 97, 2011 | 4 | 2011 |
| Simulations of Manufacturing Systems: Applications in Achieving the Intended Learning Outcomes P Litwin, M Mądziel, D Stadnicka Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019 | 3 | 2019 |
| Toward the Reference Model for Agent-Based Simulation of Extended Enterprises J Jakieła, P Litwin, M Olech Methods and Instruments of Artificial Intelligence 1, 34 - 66, 2010 | 3 | 2010 |
| MAS approach to business models simulations: supply chain management case study J Jakieła, P Litwin, M Olech Agent and Multi-Agent Systems: Technologies and Applications: 4th KES …, 2010 | 3 | 2010 |
| Zastosowanie sztucznych sieci neuronowych do wyznaczania parametrów gięcia profili skrzynkowych. P Litwin, P Stachowicz Rudy i Metale Nieżelazne 45 (10-11), 565-569, 2000 | 2 | 2000 |
