Prof. Dr.-Ing. Enzo Morosini Frazzon
Prof. Dr.-Ing. Enzo Morosini Frazzon
Professor of Production Engineering and Logistics, Federal University of Santa Catarina
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Cited by
Cited by
Towards socio-cyber-physical systems in production networks
EM Frazzon, J Hartmann, T Makuschewitz, B Scholz-Reiter
Procedia Cirp 7, 49-54, 2013
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
IM Cavalcante, EM Frazzon, FA Forcellini, D Ivanov
International Journal of Information Management 49, 86-97, 2019
Integrating manufacturing and logistic systems along global supply chains
B Scholz-Reiter, EM Frazzon, T Makuschewitz
CIRP Journal of Manufacturing Science and Technology 2 (3), 216-223, 2010
Data-driven production control for complex and dynamic manufacturing systems
EM Frazzon, M Kück, M Freitag
CIRP Annals 67 (1), 515-518, 2018
Hybrid approach for the integrated scheduling of production and transport processes along supply chains
EM Frazzon, A Albrecht, M Pires, E Israel, M Kück, M Freitag
International Journal of Production Research 56 (5), 2019-2035, 2018
Solving the job-shop scheduling problem in the industry 4.0 era
ME Leusin, EM Frazzon, M Uriona Maldonado, M Kück, M Freitag
Technologies 6 (4), 107, 2018
Production rescheduling review: Opportunities for industrial integration and practical applications
IR Uhlmann, EM Frazzon
Journal of manufacturing systems 49, 186-193, 2018
Benchmarking of best practices: an overview of the academic literature
VF De Castro, EM Frazzon
Benchmarking: An International Journal, 2017
A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains
MM Pereira, EM Frazzon
International Journal of Information Management 57, 102165, 2021
Towards supply chain management 4.0
EM Frazzon, CMT Rodriguez, MM Pereira, MC Pires, I Uhlmann
Brazilian Journal of Operations & Production Management 16 (2), 180-191, 2019
Potential of a multi-agent system approach for production control in smart factories
ME Leusin, M Kück, EM Frazzon, MU Maldonado, M Freitag
IFAC-PapersOnLine 51 (11), 1459-1464, 2018
Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems
M Kück, J Ehm, T Hildebrandt, M Freitag, EM Frazzon
2016 Winter Simulation Conference (WSC), 2820-2831, 2016
Spare parts supply chains’ operational planning using technical condition information from intelligent maintenance systems
EM Frazzon, E Israel, A Albrecht, CE Pereira, B Hellingrath
Annual Reviews in Control 38 (1), 147-154, 2014
Simulation-based analysis of a supplier-manufacturer relationship in lean supply chains
E Frazzon, GL Tortorella, R Dávalos, T Holtz, L Coelho
International Journal of Lean Six Sigma, 2017
Simulation-based analysis of catalyzers and trade-offs in Lean & Green manufacturing
MI Baumer-Cardoso, LMS Campos, PPP Santos, EM Frazzon
Journal of Cleaner Production 242, 118411, 2020
Integrating intelligent maintenance systems and spare parts supply chains
D Espíndola, EM Frazzon, B Hellingrath, CE Pereira
IFAC Proceedings Volumes 45 (6), 1017-1022, 2012
A data-driven simulation-based optimisation approach for adaptive scheduling and control of dynamic manufacturing systems
M Kück, J Ehm, M Freitag, EM Frazzon, R Pimentel
Advanced Materials Research 1140, 449-456, 2016
Simulation-based optimization for the integrated scheduling of production and logistic systems
EM Frazzon, A Albrecht, PA Hurtado
IFAC-PapersOnLine 49 (12), 1050-1055, 2016
Hybrid modelling approach for the scheduling and control of integrated production and logistic processes along export supply chains
EM Frazzon, A Albrecht, PA Hurtado, L de Souza Silva, J Pannek
IFAC-PapersOnLine 48 (3), 1521-1526, 2015
Evaluating the robustness of production schedules using discrete-event simulation
GE Vieira, M Kück, E Frazzon, M Freitag
IFAC-PapersOnLine 50 (1), 7953-7958, 2017
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