From industry 4.0 towards industry 5.0: A review and analysis of paradigm shift for the people, organization and technology MC Zizic, M Mladineo, N Gjeldum, L Celent Energies 15 (14), 5221, 2022 | 177 | 2022 |
Managing innovative production network of smart factories I Veza, M Mladineo, N Gjeldum IFAC-PapersOnLine 48 (3), 555-560, 2015 | 148 | 2015 |
Solving partner selection problem in cyber-physical production networks using the HUMANT algorithm M Mladineo, I Veza, N Gjeldum International Journal of Production Research 55 (9), 2506-2521, 2017 | 66 | 2017 |
Lean learning factory at FESB–University of Split I Veza, N Gjeldum, M Mladineo Procedia Cirp 32, 132-137, 2015 | 58 | 2015 |
Transfer of model of innovative smart factory to Croatian economy using lean learning factory N Gjeldum, M Mladineo, I Veza Procedia Cirp 54, 158-163, 2016 | 57 | 2016 |
Selection of the basic lean tools for development of croatian model of innovative smart enterprise I Veza, M Mladineo, N Gjeldum Tehnički vjesnik 23 (5), 1317-1324, 2016 | 50 | 2016 |
Simulation of production process reorganized with value stream mapping N Gjeldum, I Veža, B Bilić Tehnički vjesnik 18 (3), 341-347, 2011 | 42 | 2011 |
Lean manufacturing implementation problems in beverage production systems I Veža, N Gjeldum, L Celent International Journal of Industrial Engineering and Management 2 (1), 21, 2011 | 42 | 2011 |
Application of AHP, fuzzy AHP and PROMETHEE method in solving additive manufacturing process selection problem I Peko, N Gjeldum, B Bilić Tehnički vjesnik 25 (2), 453-461, 2018 | 39 | 2018 |
Collaborative robot task allocation on an assembly line using the decision support system N Gjeldum, A Aljinovic, M Crnjac Zizic, M Mladineo International Journal of Computer Integrated Manufacturing 35 (4-5), 510-526, 2022 | 38 | 2022 |
Integration and testing of the RFID-enabled Smart Factory concept within the Learning Factory M Mladineo, I Veza, N Gjeldum, M Crnjac, A Aljinovic, A Basic Procedia manufacturing 31, 384-389, 2019 | 34 | 2019 |
Integrating the concept of industry 4.0 by teaching methodology in industrial engineering curriculum B Salah, S Khan, M Ramadan, N Gjeldum Processes 8 (9), 1007, 2020 | 30 | 2020 |
Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory N Gjeldum, M Mladineo, M Crnjac, I Veza, A Aljinovic Procedia Manufacturing 23, 63-68, 2018 | 26 | 2018 |
Investigation and modelling of process parameters and workpiece dimensions influence on material removal rate in CWEDT process N Gjeldum, B Bilic, I Veza International journal of computer integrated manufacturing 28 (7), 715-728, 2015 | 24 | 2015 |
Lean concept application in production business N Štefanić, N Gjeldim, T Mikac Tehnički vjesnik 17 (3), 353-356, 2010 | 23 | 2010 |
Towards a knowledge-based cognitive system for industrial application: Case of personalized products M Mladineo, MC Zizic, A Aljinovic, N Gjeldum Journal of Industrial Information Integration 27, 100284, 2022 | 22 | 2022 |
Utilization of Industry 4.0 related equipment in assembly line balancing procedure N Gjeldum, B Salah, A Aljinovic, S Khan Processes 8 (7), 864, 2020 | 22 | 2020 |
Development of assembly systems in lean learning factory at the University of Split I Veza, N Gjeldum, M Mladineo, S Celar, I Peko, M Cotic, P Ljumovic, ... Procedia manufacturing 9, 49-56, 2017 | 19 | 2017 |
Integration of the human-robot system in the learning factory assembly process A Aljinovic, M Crnjac, G Nikola, M Mladineo, A Basic, V Ivica Procedia manufacturing 45, 158-163, 2020 | 15 | 2020 |
Two-stage product design selection by using PROMETHEE and Taguchi method: A case study. M Crnjac, A Aljinovic, N Gjeldum, M Mladineo Advances in production engineering & management 14 (1), 2019 | 15 | 2019 |