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Avventuroso, G., Foresti, R., Silvestri, M., & Frazzon, E. M. (2017). Production paradigms for additive manufacturing systems: A simulation-based analysis. 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 973–981. https://doi.org/10.1109/ICE.2017.8279987
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Baur, L., & Frazzon, E. M. (2018). Evaluating the contribution of in-line metrology to mitigate bullwhip effect in internal supply chains. IFAC-PapersOnLine, 51(11), 1714–1719. https://doi.org/10.1016/j.ifacol.2018.08.209
Carelli, F. L., Frazzon, E. M., & Taboada, C. M. (2016). Análise de opções de transporte para um Sistema de Logística Reversa de refrigeradores. Revista Latino-Americana de Inovação e Engenharia de Produção, 4(5), 66. https://doi.org/10.5380/relainep.v4i5.40920
Castro, V. F. de, & Frazzon, E. M. (2017). Benchmarking of best practices: an overview of the academic literature. Benchmarking: An International Journal, 24(3), 750–774. https://doi.org/10.1108/BIJ-03-2016-0031
Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97. https://doi.org/10.1016/j.ijinfomgt.2019.03.004
Cavion, R., Staudt, F. H., Frazzon, E. M., Ceron, B. G., Benedecti, R. C., Rocha, J. V. M., & dos Santos Neves Pinheiro, S. (2023). COVID-19 Transmission in Universities: Mitigation Measures Evaluation Using Agent-Based Simulation. In Proceedings of the 11th International Conference on Production Research – Americas (pp. 130–136). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-36121-0_16
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Da Silva, G. F., Frazzon, E. M., & Casarotto Filho, N. (2016). Proposta de método de otimização-simulação para apoiar a tomada de decisão em internalização de processos produtivos. Exacta, 13(3), 155–166. https://doi.org/10.5585/exactaep.v13n3.5967
da Silva, M. J., Braghirolli, L. F., Broda, E., Engbers, H., Frazzon, E. M., & Pereira, C. E. (2022). An ontological approach for modelling evolutionary knowledge of prognostic method selection. IFAC-PapersOnLine, 55(2), 181–186. https://doi.org/10.1016/j.ifacol.2022.04.190
da Silva, M. R. F., Agostino, I. R. S., & Frazzon, E. M. (2023). Integration of machine learning and simulation for dynamic rescheduling in truck appointment systems. Simulation Modelling Practice and Theory, 125, 102747. https://doi.org/10.1016/j.simpat.2023.102747
da Silva, M. R. F., Chaves, G. de L. D., & Frazzon, E. M. (2023). Modelling container dynamics under the COVID-19 disruptive scenario. IFAC-PapersOnLine, 56(2), 10351–10356. https://doi.org/10.1016/j.ifacol.2023.10.1046
Da Silva, M. R. F., Garbin, F. G. de B., Santos, I. P. dos, & Frazzon, E. M. (2021). Proposta de otimização dos processos logísticos do porto de Itajaí utilizando simulação e indicadores da teoria das filas. Revista Produção Online, 21(1), 231–258. https://doi.org/10.14488/1676-1901.v21i1.4214
da Silva, M. R. F., Kück, M., Frazzon, E. M., & Bremen, J. C. (2024). Analysis of Machine Learning Approaches to Predict Disruptions in Truck Appointment Systems (pp. 467–476). https://doi.org/10.1007/978-3-031-56826-8_36
de Farias, I. V., dos Santos Alvim, S. L., de Simas, D., & Frazzon, E. M. (2022). Visibility model for enhancing supply chains resilience. IFAC-PapersOnLine, 55(10), 2521–2525. https://doi.org/10.1016/j.ifacol.2022.10.088
de Oliveira Quadras, D. L., Cavalcante, I., Kück, M., Mendes, L. G., & Frazzon, E. M. (2023). Machine Learning Applied to Logistics Decision Making: Improvements to the Soybean Seed Classification Process. Applied Sciences, 13(19), 10904. https://doi.org/10.3390/app131910904
de Souza, N. L. S., Mendes, L. G., Rovaris, E. S., Frazzon, E. M., & Braghirolli, L. F. (2021). Integrated Production and Maintenance Planning: A Systematic Literature Review (pp. 342–356). https://doi.org/10.1007/978-3-030-76307-7_26
dos Santos Alvim, S. L., de Farias, I. V., Frazzon, E. M., & de Simas, D. (2022). Supply chain resilience in turbulent times: conceptual model and real-world use case*. IFAC-PapersOnLine, 55(10), 85–90. https://doi.org/10.1016/j.ifacol.2022.09.372
Ehm, J., Freitag, M., & Frazzon, E. M. (2016). A Heuristic Optimisation Approach for the Scheduling of Integrated Manufacturing and Distribution Systems. Procedia CIRP, 57, 357–361. https://doi.org/10.1016/j.procir.2016.11.062
Ehm, J., Scholz-Reiter, B., Makuschewitz, T., & Frazzon, E. M. (2015). Graph-based integrated production and intermodal transport scheduling with capacity restrictions. CIRP Journal of Manufacturing Science and Technology, 9, 23–30. https://doi.org/10.1016/j.cirpj.2015.01.007
Espíndola, D., Frazzon, E. M., Hellingrath, B., & Pereira, C. E. (2012). Integrating Intelligent Maintenance Systems and Spare Parts Supply Chains. IFAC Proceedings Volumes, 45(6), 1017–1022. https://doi.org/10.3182/20120523-3-RO-2023.00384
Francisco, R. P., Campos, D. P., Frazzon, E. M., & Machado, R. L. (2016). On the application of modelling and simulation to compare human- and automation-based order-picking systems. IFAC-PapersOnLine, 49(12), 1062–1067. https://doi.org/10.1016/j.ifacol.2016.07.583
Frazzon, E. M., Agostino, Í. R. S., Broda, E., & Freitag, M. (2020). Manufacturing networks in the era of digital production and operations: A socio-cyber-physical perspective. Annual Reviews in Control, 49, 288–294. https://doi.org/10.1016/j.arcontrol.2020.04.008
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Frazzon, E. M., Albrecht, A., Hurtado, P. A., Silva, L. de S., & Pannek, J. (2015). Hybrid modelling approach for the scheduling and control of integrated production and logistic processes along export supply chains. IFAC-PapersOnLine, 48(3), 1521–1526. https://doi.org/10.1016/j.ifacol.2015.06.302
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Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I. (2019). Towards Supply Chain Management 4.0. Brazilian Journal of Operations & Production Management, 16(2), 180–191. https://doi.org/10.14488/BJOPM.2019.v16.n2.a2
Frazzon, E. M., Silva, L. S., & Hurtado, P. A. (2015). Synchronizing and Improving Supply Chains through the application of Cyber- Physical Systems. IFAC-PapersOnLine, 48(3), 2059–2064. https://doi.org/10.1016/j.ifacol.2015.06.392
Frazzon, E., Tortorella, G. L., Dávalos, R., Holtz, T., & Coelho, L. (2017). Simulation-based analysis of a supplier-manufacturer relationship in lean supply chains. International Journal of Lean Six Sigma, 8(3), 262–274. https://doi.org/10.1108/IJLSS-03-2016-0009
Garcia, N., Espíndola, D. B., Botelho, S., Albrecht, A., Israel, E., Frazzon, E., Hellingrath, B., Schroeder, G., & Pereira, C. E. (2016). Web-Service Interface-based IMS-SPSC Integration. IFAC-PapersOnLine, 49(30), 192–197. https://doi.org/10.1016/j.ifacol.2016.11.166
Gimenez Isasi, N. K., Morosini Frazzon, E., & Uriona, M. (2015). Big Data and Business Analytics in the Supply Chain: A Review of the Literature. IEEE Latin America Transactions, 13(10), 3382–3391. https://doi.org/10.1109/TLA.2015.7387245
Gumz, J., Fettermann, D. C., Frazzon, E. M., & Kück, M. (2022a). Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions. Sustainability, 14(20), 13642. https://doi.org/10.3390/su142013642
Gumz, J., Fettermann, D. C., Frazzon, E. M., & Kück, M. (2022b). Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions. Sustainability, 14(20), 13642. https://doi.org/10.3390/su142013642
Hardt, I., & Frazzon, E. M. (2017). Análise operacional dos berços de atracação do porto de São Francisco do Sul/SC. Exacta, 15(4). https://doi.org/10.5585/exactaep.v15n4.6921
Hellingrath, B., Pereira, C. E., Espíndola, D., Frazzon, E. M., Cordes, A.-K., Saalmann, P., & Zuccolotto, M. (2015). On the Integration of Intelligent Maintenance and Spare Parts Supply Chain Management. IFAC-PapersOnLine, 48(3), 983–988. https://doi.org/10.1016/j.ifacol.2015.06.211
Israel, E. F., Albrecht, A., Frazzon, E. M., & Hellingrath, B. (2017). Operational Supply Chain Planning Method for Integrating Spare Parts Supply Chains and Intelligent Maintenance Systems. IFAC-PapersOnLine, 50(1), 12428–12433. https://doi.org/10.1016/j.ifacol.2017.08.2432
Kück, M., Ehm, J., Freitag, M., Frazzon, E. M., & Pimentel, R. (2016). A Data-Driven Simulation-Based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems. Advanced Materials Research, 1140, 449–456. https://doi.org/10.4028/www.scientific.net/AMR.1140.449
Leusin, M. E., Kück, M., Frazzon, E. M., Maldonado, M. U., & Freitag, M. (2018). Potential of a Multi-Agent System Approach for Production Control in Smart Factories. IFAC-PapersOnLine, 51(11), 1459–1464. https://doi.org/10.1016/j.ifacol.2018.08.309
Leusin, M., Frazzon, E., Uriona Maldonado, M., Kück, M., & Freitag, M. (2018). Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era. Technologies, 6(4), 107. https://doi.org/10.3390/technologies6040107
Lima, A. D. P., Werner de Mascarenhas, F., & Frazzon, E. M. (2015). Simulation-Based Planning and Control of Transport Flows in Port Logistic Systems. Mathematical Problems in Engineering, 2015, 1–12. https://doi.org/10.1155/2015/862635
Mariani Zanella, R., Morosini Frazzon, E., & Retto Uhlmann, I. (2021a). Social Manufacturing: from the theory to the practice. Brazilian Journal of Operations & Production Management, 19(3), 1–21. https://doi.org/10.14488/BJOPM.2021.047
Mariani Zanella, R., Morosini Frazzon, E., & Retto Uhlmann, I. (2021b). Social Manufacturing: from the theory to the practice. Brazilian Journal of Operations & Production Management, 19(3), 1–21. https://doi.org/10.14488/BJOPM.2021.047
Mazzuco, D. E., Carreirão Danielli, A. M., Oliveira, D. L., Santos, P. P. P., Pereira, M. M., Coelho, L. C., & Frazzon, E. M. (2018). A concept for simulation-based optimization in Vehicle Routing Problems. IFAC-PapersOnLine, 51(11), 1720–1725. https://doi.org/10.1016/j.ifacol.2018.08.208
Mazzuco, D., Oliveira, D., & Frazzon, E. M. (2018). STATE OF THE ART IN SIMULATION-BASED OPTIMIZATION APPROACHES FOR VEHICLE ROUTING PROBLEMS ALONG MANUFACTURING SUPPLY CHAINS. DEStech Transactions on Engineering and Technology Research, icpr. https://doi.org/10.12783/dtetr/icpr2017/17673
Mendes, L. G., Ribeiro, D. R. S., Dresch, C. E. E., Da Silva, J. D. S., & Frazzon, E. M. (2021). Aplicação do Mapeamento de Fluxo de Valor e Lean Healthcare na emergência de um hospital de referência regional. Exacta. https://doi.org/10.5585/exactaep.2021.20642
Mendes, L. G., Sá Ribeiro, D. R., & Frazzon, E. M. (2023). Hybrid Approach in Bed Planning and Scheduling Decisions: A Literature Review and Future Perspectives. In Proceedings of the 11th International Conference on Production Research – Americas (pp. 527–537). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-36121-0_67
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Morosini Frazzon, E., Souza Silva, L. de, & Cardoso Pires, M. (2016). Simulation-based performance evaluation of a concept for integrating intelligent maintenance systems and spare parts supply chains. IFAC-PapersOnLine, 49(12), 1074–1079. https://doi.org/10.1016/j.ifacol.2016.07.585
Pannek, J., & Frazzon, E. (2014). Supply Chain Optimization via Distributed Model Predictive Control. PAMM, 14(1), 905–906. https://doi.org/10.1002/pamm.201410433
Pereira, M. M., de Oliveira, D. L., Portela Santos, P. P., & Frazzon, E. M. (2018). Predictive and Adaptive Management Approach for Omnichannel Retailing Supply Chains. IFAC-PapersOnLine, 51(11), 1707–1713. https://doi.org/10.1016/j.ifacol.2018.08.210
Pereira, M. M., & Frazzon, E. M. (2021). A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains. International Journal of Information Management, 57, 102165. https://doi.org/10.1016/j.ijinfomgt.2020.102165
Pereira, M. M., Machado, R. L., Ignacio Pires, S. R., Pereira Dantas, M. J., Zaluski, P. R., & Frazzon, E. M. (2018). Forecasting scrap tires returns in closed-loop supply chains in Brazil. Journal of Cleaner Production, 188, 741–750. https://doi.org/10.1016/j.jclepro.2018.04.026
Pimentel, R., Frazzon, E. M., & Santos, P. P. (2018). REVIEW OF SIMULATION-BASED OPTIMIZATION APPROACHES FOR THE ADAPTIVE SCHEDULING AND CONTROL OF DYNAMIC PRODUCTION SYSTEMS. DEStech Transactions on Engineering and Technology Research, icpr. https://doi.org/10.12783/dtetr/icpr2017/17687
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Pires, M. C., & Frazzon, E. M. (2016). On the research of linear programming solving methods for non-hierarchical spare parts supply chain planning. IFAC-PapersOnLine, 49(30), 198–203. https://doi.org/10.1016/j.ifacol.2016.11.167
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Quadras, D., Frazzon, E. M., Mendes, L. G., Pires, M. C., & Rodriguez, C. M. T. (2022). Adaptive Simulation-Based Optimization for Production Scheduling: A Comparative Study. IFAC-PapersOnLine, 55(10), 424–429. https://doi.org/10.1016/j.ifacol.2022.09.430
Quadras, D., Rigon, B., da Silva, E. R., & Frazzon, E. (2023). Challenges and perspectives for agribusiness logistics chain in the Industry 4.0 era. Procedia CIRP, 120, 1422–1427. https://doi.org/10.1016/j.procir.2023.09.187
Ramos Lengler, F., & Morosini Frazzon, E. (2016). Processo Decisório na Gestão Operacional da Expedição: Modelo de Simulação Baseado em Tomadas de Decisões. Produção Em Foco, 06(02), 51–59. https://doi.org/10.14521/P2237-5163.2016.0010.0005
Randolfo Flores Da Silva, M., Morosini Frazzon, E., Luz Tortorella, G., Cristina Bremen, J., & Rigon De Oliveira, B. (2023a). Human-centric decision for the Integrated Planning of Smart Port Systems. https://doi.org/10.54941/ahfe1004008
Randolfo Flores Da Silva, M., Morosini Frazzon, E., Luz Tortorella, G., Cristina Bremen, J., & Rigon De Oliveira, B. (2023b). Human-centric decision for the Integrated Planning of Smart Port Systems. https://doi.org/10.54941/ahfe1004008
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Retto Uhlmann, I., Ledoux Takeda Berger, S., de Souza Silva, C. A., & Frazzon, E. M. (2023). Digital and smart production planning and control. In Designing Smart Manufacturing Systems (pp. 311–343). Elsevier. https://doi.org/10.1016/B978-0-32-399208-4.00022-2
Ribeiro, D. R. S., Mendes, L. G., Forcellini, F. A., & Frazzon, E. M. (2022). Maintenance 4.0: A Literature Review and SWOT Analysis (pp. 409–422). https://doi.org/10.1007/978-3-031-05359-7_33
Rodrigues, A. L. V., Gomes, G., Bouzon, M., & Frazzon, E. M. (2023). Estudo de viabilidade para implementação de manutenção preditiva no contexto da indústria 4.0. Brazilian Journal of Development, 9(8), 23133–23154. https://doi.org/10.34117/bjdv9n8-002
Sá Ribeiro, D. R., Mendes, L. G., Forcellini, F. A., Frazzon, E. M., & Neumann, C. (2023). VSM Approach to Manufacturing Systems in Industry 4.0: From Literature Review to a Conceptual Framework. In Proceedings of the 11th International Conference on Production Research – Americas (pp. 538–547). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-36121-0_68
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Sousa Agostino, Í. R., Flores da Silva, M. R., Morosini Frazzon, E., & Neto, L. A. S. (2022a). Integrated Simulation-Based Optimization Approach for Production Scheduling: A Use Case Application in a Machining Process (pp. 386–395). https://doi.org/10.1007/978-3-031-05359-7_31
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Souza, N. L. S. de, Flores, M. R., Cauchick-Miguel, P. A., & Frazzon, E. M. (2023). Analysis of product-service system logistics strategies in e-commerce. Brazilian Journal of Operations & Production Management, 20(4), 1693. https://doi.org/10.14488/BJOPM.1693.2023
Souza, N. L. S. de, Stradioto Neto, L. A., Fettermann, D. de C., & Frazzon, E. M. (2022a). Evaluation of the customer requirements for last mile delivery in Brazil. Brazilian Journal of Operations & Production Management, 19(3), 1–12. https://doi.org/10.14488/BJOPM.2022.1360
Souza, N. L. S. de, Stradioto Neto, L. A., Fettermann, D. de C., & Frazzon, E. M. (2022b). Evaluation of the customer requirements for last mile delivery in Brazil. Brazilian Journal of Operations & Production Management, 19(3), 1–12. https://doi.org/10.14488/BJOPM.2022.1360
Stradioto, L., & Frazzon, E. M. (2023). Digital transformation in Brazilian industry: bridging theory and practice. Production, 33. https://doi.org/10.1590/0103-6513.20220076
Takeda Berger, S. L., Frazzon, E. M., & Carreirao Danielli, A. M. (2018). Pull-production system in a lean supply chain: a performance analysis utilizing the simulation-based optimization. 2018 13th IEEE International Conference on Industry Applications (INDUSCON), 870–874. https://doi.org/10.1109/INDUSCON.2018.8627187
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Takeda Berger, S. L., Zanella, R. M., & Frazzon, E. M. (2019). Towards a data-driven predictive-reactive production scheduling approach based on inventory availability. IFAC-PapersOnLine, 52(13), 1343–1348. https://doi.org/10.1016/j.ifacol.2019.11.385
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Cruz, W. L. M.; Frazzon, E. M. A Aglomeração Geográfica dos Prestadores de Serviços Logísticos (PSLs) nos Municípios de Itajaí e Navegantes (SC): Aspectos Conceituais, Economia Espacial e Desafios para o Ordenamento dos Fluxos no Território. Revista Formação, 4(23), p. 188-215, 2016. DOI
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