Dávid Gyulai
Dávid Gyulai
Fraunhofer PMI, MTA SZTAKI
Verified email at sztaki.mta.hu
Title
Cited by
Cited by
Year
Milkrun vehicle routing approach for shop-floor logistics
D Gyulai, A Pfeiffer, T Sobottka, J Váncza
PROCEDIA CIRP 7, 127-132, 2013
472013
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
392014
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
332018
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
312017
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
252018
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
242012
Robust production planning and capacity control for flexible assembly lines
D Gyulai, B Kádár, L Monosotori
IFAC-PapersOnLine 48 (3), 2312-2317, 2015
232015
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
222016
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
212016
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
212014
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
142018
Capacity management of modular assembly systems
D Gyulai, L Monostori
Journal of Manufacturing Systems 43, 88-99, 2017
132017
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
122016
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
112018
An online machine learning framework for early detection of product failures in an Industry 4.0 context
JA Carvajal Soto, F Tavakolizadeh, D Gyulai
International Journal of Computer Integrated Manufacturing 32 (4-5), 452-465, 2019
92019
Scheduling and operator control in reconfigurable assembly systems
D Gyulai, B Kádár, L Monostori
Procedia Cirp 63, 459-464, 2017
82017
Improving the accuracy of cycle time estimation for simulation in volatile manufacturing execution environments
S Wenzel, T Peter
Simulation in Produktion und Logistik 2017, 413, 2017
62017
Industry 4.0: mining physical defects in production of surface-mount devices
F Tavakolizadeh, JÁC Soto, D Gyulai, C Beecks
ibai-publishing, 2017
62017
Simulation-based flexible layout planning considering stochastic effects
D Gyulai, Á Szaller, ZJ Viharos
Procedia CIRP 57, 177-182, 2016
52016
The RobustPlaNet Project: Towards Shock-Robust Design Of Plants And Their Supply Chain Networks
JMJ Becker, B Kadar, M Colledani, N Stricker, M Urgo, J Unglert, D Gyulai, ...
IFAC-papersonline 49 (12), 29-34, 2016
32016
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