Influências do conceito e das tecnologias da indústria 4.0 no ambiente industrial

Vander Luiz da Silva; João Luiz Kovaleski; Regina Negri Pagani

doi:10.5585/exactaep.v18n2.10487

Autores

Vander Luiz da Silva Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná. https://orcid.org/0000-0001-9307-7127
João Luiz Kovaleski Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná https://orcid.org/0000-0003-4232-8883
Regina Negri Pagani Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná. https://orcid.org/0000-0002-2655-6424

DOI:

https://doi.org/10.5585/exactaep.v18n2.10487

Palavras-chave:

Indústria 4.0, Gestão estratégica, Tecnologias, Engenharia Organizacional.

Resumo

O Cenário Industrial 4.0 está configurado como Quarta Revolução Industrial, consistindo na produção inteligente a partir de integrações digitais com processos físicos, denominadas de Sistemas Cibernéticos Físicos (SCFs), entre outras tecnologias e procedimentos. Este estudo teve como objetivo explorar as perspectivas tecnológicas da Indústria 4.0 para o ambiente industrial. Para a realização deste estudo, foi realizada uma revisão da literatura, utilizando protocolos estruturados e critérios de filtragem de artigos. Entre o total de 93 artigos, obteve-se um número de 34 artigos para análises. Os artigos mais relevantes foram analisados por meio de leituras e coleta de informações. A fim de tornar a Indústria 4.0 uma realidade, foi constatada uma série de mudanças tecnológicas e de gestão para indústrias de manufatura. Pesquisas com o objetivo de subsidiar o desenvolvimento de novos estudos da Indústria 4.0, como estudos exploratórios e/ou aplicados com foco na gestão tecnológica e industrial, são importantes para o enriquecimento do assunto.

Downloads

Não há dados estatísticos.

Biografia do Autor

Vander Luiz da Silva, Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná.

Mestrando em Engenharia de Produção na Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná. Graduado em Engenharia de Produção pela Universidade Estadual do Paraná, Brasil.

João Luiz Kovaleski, Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná

Professor no Programa de Pós graduação em Engenharia de Produção da Utfpr. Doutor em Instrumentação Industrial pela Universidade de Grenoble I. Mestre em Informática Industrial pela Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná. Mestrado em Sistemas Eletrônicos, Institut Polithnique de Grenoble. Graduação em Engenharia Industrial Eletrônica, Universidade Tecnológica Federal do Paraná. Licenciatura em Automação Industrial, Universidade de Grenoble I, França.

Regina Negri Pagani, Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná.

Professora no Programa de Pós graduação em Engenharia de Produção da Utfpr. Doutora em Engenharia de Produção, Universidade Tecnológica Federal do Paraná e Sorbonne Universités. Mestrado em Engenharia de Produção pela Universidade Tecnológica Federal do Paraná. Especialista em Gestão Industrial pela Universidade Federal de Tecnologia do Paraná. Bacharel em Administração de Empresas pela Universidade Estadual de Maringá, Brasil.

Referências

Abdel-Basset, M.; Manogaran, G.; Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems, Future Generation Computer Systems, 86, 614-628.

Ahmed, M.; Hossain, M. A. (2014). Cloud computing and security issues in the cloud. International Journal of Network Security & Its Applications, 6(1), 25-36.

Albers, A.; Gladysz, B.; Pinner, T.; Butenko, V.; Stürmlinger, T. (2016). Procedure for Defining the System of Objectives in the Initial Phase of an Industry 4.0 Project Focusing on Intelligent Quality Control Systems. Procedia CIRP, 52, 262-267.

Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, 4, 16-21.

Anderl, I. R. Industrie 4.0 (2014). Advanced Engineering of Smart Products and Smart Production. In: Anais do XIX Internation Seminar on High Technology. Piracicaba, SP.

Annunziata, M.; Biller, S. (2017). The Future of Work Starts Now. Access in September 3, 2017, http://www.ge.com.

Assad Neto, A.; Pereira, G. B.; Drozda, F. O.; Santos, A. P. L. (2017). A busca de uma identidade para a Indústria 4.0. In: Anais do Encontro Nacional de Engenharia de Produção, Joinville.

Avventuroso, G.; Silvestri, M.; Pedrazzoli, P. A. (2017). Networked Production System to Implement Virtual Enterprise and Product Lifecycle Information Loops. IFAC-PapersOnLine, 50(1), 7964-7969.

Bai, Z.; Huang, X. (2012). Design and implementation of a Cyber Physical System for Building Smart Living Spaces. International Journal of Distributed Sensor Networks, 8(5), 1-10.

Bär, K.; Z. N. L. Herbert-Hansen; W. Khalid. (2018). Considering Industry 4.0 aspects in the supply chain for an SME. Production Engineering, 12(6), 747-758.

Barreto, L.; Amaral, A.; Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252.

BFWuE - Bundesministerium Für Wirtschaft Und Energie. (2018). Was ist Industrie 4.0? Recuperado em: <https://www.plattform-i40.de/I40/Navigation/DE/Industrie40/WasIndustrie40/was-ist-industrie 40.html>. Acesso 20 ago. 2018.

Bogataj, D.; Bogataj, M.; Hudoklin, D. (2017). Mitigating risks of perishable products in the cyber physical systems based on the extended MRP model. International Journal of Production Economics, 193, 51-62.

Byrne, G.; Ahearne, E.; Cotterell, M.; Mullany, B.; O’donnell, G. E.; Sammler, F. (2016). High Performance Cutting (HPC) in the New Era of Digital Manufacturing: A Roadmap. Procedia CIRP, 46, 1-6.

Cavalcante, Z. V.; Silva, M. L. S. (2011). A importância da revolução industrial no mundo da tecnologia. In: Anais do Encontro Internacional de Produção Científica, Maringá, Paraná.

Chase, J. (2013). The evolution of the Internet of Things. Dallas Texas: Texas Instruments.

Chen, R. Y. (2017). An intelligent value stream-based approach to collaboration of food traceability cyber physical system by fog computing. Food Control, 71, 124-136.

CNI - Conselho Nacional de Indústria. (2017). New Industrial Era Will Transform Global Productivity. Recuperado em: <http://www.portaldaindustria.com.br>. Acesso 02 set. 2017.

Davis, J., Edgar, T., Porter, J., Bernaden, J. and Sarli, M. (2012). Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers & Chemical Engineering, 47, 145-156.

Dieber, B.; Schlotzhauer, A.; Brandstötter, M. (2017). Safety & Security Erfolgsfaktoren von sensitiven Robotertechnologien. e & i Elektrotechnik und Informationstechnik, 134(6), 299-303.

Dossou, P., Nachidi, M. (2017). Modeling Supply Chain Performance. Procedia Manufacturing, 11, 838-845.

Drath, R.; Horch, A. (2014). Industrie 4.0: Hit or Hype? IEEE industrial electronics magazine, 56-58.

GeboCermex. (2017). Industry 4.0 driven by simulation. Recuperado em: <http://www.gebocermex.com>. Acesso 5 de set. 2017.

Gil, A. C. (2008). Como elaborar projetos de pesquisa. São Paulo: Atlas.

Godoy, A. S. (1995). Pesquisa qualitativa: tipos fundamentais. Revista de Administração de Empresas, 35(3), 20-29.

Gorecky, D.; Khamis, M.; Mura, K. (2015). Introduction and establishment of virtual training in the factory of the future. International Journal of Computer Integrated Manufacturing, 30(1), 182-190.

Goris, K. (2005). Autonomous Mobile Robot Mechanical Design. Universiteit Brussel.

Grieco, A.; Caricato, P.; Gianfreda, D.; Pesce, M.; Rigon, V.; Tregnaghi, L.; Voglino, A. (2017). An Industry 4.0 case study in fashion manufacturing. Procedia Manufacturing, 11, 871-877.

Haddara, M.; Elragal, A. (2015). The Readiness of ERP Systems for the Factory of the Future. Procedia Computer Science, 64, 721-728.

Harrison, R.; Vera, D.; Ahmad, B. (2016). Engineering Methods and Tools for Cyber-Physical Automation Systems. Proceedings of the IEEE, 104(5), 973-985.

Herterich, M. M.; Uebernickel, F.; Brenner, W. (2015). The impact of Cyber-physical Systems on Industrial Services in Manufacturing. Procedia Cirp, 30, 323-328.

Ivanov, D. and Sokolov, B. (2012). The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks. Journal of Manufacturing Technology Management, 23(8), 976-997.

Jasiulewicz-Kaczmarek, M.; Saniuk, A.; Nowicki, T. (2017). The Maintenance Management in the Macro-Ergonomics Context. Advances in Intelligent Systems and Computing, 487, 35-46.

Jensen, J. P.; Remmen, A. (2017). Enabling circular economy through product stewardship. Procedia Manufacturing, 8, 377-384.

Jung, K.; Morris, K.; Lyons, K.; Leong, S.; Cho, H. (2015). Using formal methods to scope performance challenges for Smart Manufacturing Systems: Focus on agility. Concurrent Engineering, 23(4), 343-354.

Kambatla, K., Kollias, G., Kumar, V., Grama, A. (2014). Trends in big data analytics. Parallel Distrib. Comput., 74, 2561-2573.

Kayikci, Y. (2018). Sustainability impact of digitization in logistics. Procedia Manufacturing, 21, 782-789.

Lakatos, E. M.; Marconi, M. A. (2001). Fundamentos da metodologia científica. 4. São Paulo: Atlas.

Lalanda, P.; Morand, D.; Chollet, S. (2017). Autonomic Mediation Middleware for Smart Manufacturing. IEEE Internet Computing, 21(1), 32-39.

Lee, E. A. (2008). Cyber Physical Systems: Design Challenges. In: Anais do Ieee International Symposium. 2008. Orlando, USA. Orlando, USA.

Lee, E. A. (2015). The past, present and future of Cyber-Physical Systems: a focus on models. Sensors, 15, 4837-4869.

Lee, J.; Kao, H. A.; Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP, 16, 3-8.

Letichevsky, A. A.; Letychevskyi, O. O.; Skobelev, V. G.; Volkov, V. A. (2017). Cyber-Physical Systems. Cybernetics and Systems Analysis, 53(6), 821-834.

Lima, E. C.; Oliveira Neto, C. R. (2017). Revolução Industrial: considerações sobre o pioneirismo industrial inglês. Revista Espaço Acadêmico, 1(194), 102-113.

Liu, Y.; Peng, Y.; Wang, B.; Yao, S.; Liu, Z. (2017). Review on Cyber-physical Systems. Journal of Automatica Sinica, 4(1), 27-40.

Majeed, A. A., Rupasinghe, T. D. (2017). Internet of things (IoT) embedded future supply chains for industry 4.0: An assessment from an ERP-based fashion apparel and footwear industry. International Journal of Supply Chain Management, 6(1), pp 25-40.

Malathi, M. (2011). Cloud computing concepts. IEEE, 236-239.

Michalos, G.; Karagiannis, P.; Makris, S.; Tokçalar, Ö.; Chryssolouris. (2016). Augmented Reality (AR) application for supporting human-robot interactive cooperation. Procedia CIRP, 41, 370-375.

Moeuf, A.; Pellerin, R.; Lamouri, S.; Tamayo-Giraldo, S.; Barbaray, R. (2017). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118-1136.

Mohammed, Z. K. A.; Ahmed, E. S. (2017). Internet of Things applications, challenges and related future technologies. World Scientific News, 67(2), 126-148.

Molka-Danielsen, J.; Engelseth, P.; Wang, H. (2018). Large scale integration of wireless sensor network technologies for air quality monitoring at a logistics shipping base. Journal of Industrial Information Integration, 10, 20-28.

Müller, J. M.; Buliga, O.; Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting & Social Change, 132, 2-17.

Neugebauer, R.; Hippmann, S.; Leis, M.; Landherr, M. (2017). Industrie 4.0: From the perspective of applied research. Procedia CIRP, 57, 2-7.

NIST - National Institute of Standards and Technology. (2013). Foundations for Innovation in Cyber-Physical Systems Workshop Summary Report. Recuperado em: <https://www.nist.gov>. Acesso 29 jun. 2018.

Pagani, R. N.; Kovaleski, J. L.; Resende, L. M. (2015). Methodi ordinatio®: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication. Scientometrics, 105(3), 2109-2135.

Pagani, R. N.; Kovaleski, J. L.; Resende, L. M. (2018). Avanços na composição da Methodi Ordinatio para revisão sistemática de literatura. Ci.Inf., Brasília, 46(2), 161-187.

Park, S. H.; Shin, W. S.; Park, Y. H.; Lee, Y. (2017). Building a new culture for quality management in the era of the Fourth Industrial Revolution. Total Quality Management & Business Excellence, 28(9), 934-945.

Patel, K. K.; Patel, S. M. (2012). Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges. International Journal of Engineering Science and Computing, 6(5), 6122-6131.

Picciano, A. G. (2012). The evolution of Big Data and Learning Analytics in American Higher Education. Journal of Asynchronous Learning Networks, 16(3), 9-20.

Piovesan, A.; Temporini, E. R. (1995). Pesquisa exploratória: procedimento metodológico para o estudo de fatores humanos no campo da saúde pública. Revista Saúde Pública, 29(4), 318-325.

Porter, M. E.; Heppelmann, J. E. (2014). How Smart, Connected Products Are Transforming Competition. Harvard Business Review.

Reddy, G. R.; Singh, H.; Hariharan, S. (2016). Supply chain wide transformation of traditional industry to Industry 4.0. Journal of Engineering and Applied Sciences, 11(18), 11089-11097.

Rodič, B. (2017). Industry 4.0 and the New Simulation Modelling Paradigm. Oganizacija, 50(3), 193-207.

Rüßmann, M.; Lorenz, M.; Gerbert, P.; Waldner, M.; Justus, J.; Engel, P.; Harnisch, M. (2015). Industry 4.0 The Future of Productivity and Growth in Manufacturing Industries. The Boston Consulting Group.

Shamim, S.; Cang, S.; Yu, H.; Li, Y. (2017). Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice. Energies, 10(12), 1-19.

Silva, E. L.; Menezes, E. M. (2005). Metodologia de pesquisa e elaboração de dissertação. Florianópolis: UFSC.

Silva, V. L.; Kovaleski, J. L.; Pagani, R. N. (2018). Technology transfer in the supply chain oriented to industry 4.0: a literature review. Technology Analysis & Strategic Management, Doi: 10.1080/09537325.2018.1524135.

Singh, B.; Sellappan, N.; Kumaradhas, P. (2013). Evolution of Industrial Robots and their Applications. International Journal of Emerging Technology and Advanced Engineering, (3), 763-768.

Skaržauskienė, A.; Kalinauskas, M. (2012). The future potential of Internet of Things. Socialinės Technologijos Social Technologies, 2(1), 102-113.

Smirnov, A.; Sandkuhl, K.; Shilov, N. (2013). Multilevel self-organisation of cyber-physical networks: synergic approach. International Journal of Integrated Supply Management, 8(1), 1.

Sung, T. K. (2018). Industry 4.0: A Korea perspective. Technological Forecasting and Social Change, 132, 40-45.

Syberfeldt, A.; Danielsson, O.; Gustavsson, P. (2017). Augmented Reality smart glasses in the smart factory: product evaluation guidelines and review of available products. IEEE Access, 5, 9118-9130.

Tasevski, J.; Nikolić, M.; Mišković, D. (2013). Integration of an Industrial Robot with the Systems for Image and Voice Recognition. Serbian Journal of Electrical Engineering, 10(1), 219-230.

Tjahjono, B., Esplugues, C., Ares, E. and Pelaez, G. (2017). What does Industry 4.0 mean to Supply Chain?. Procedia Manufacturing, 13, 1175-1182.

Tortorella, G. L., Fettermann, D. (2017). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. International Journal of Production Research, 56(8), 2975-2987.

Trstenjak, M., Cosic, P. (2017). Process Planning in Industry 4.0 Environment. Procedia Manufacturing, 11, 1744-1750.

Tuptuk, N.; Hailes, S. (2018). Security of smart manufacturing systems. Journal of Manufacturing Systems, 47, 93-106.

Ullah, M. I.; Ajwad, S. A.; Irfan, M.; Iqbal, J. (2016). Non-linear Control Law for Articulated Serial. Elektronika ir Elektrotechnika, 22(1), 1, 1-5.

Wang, W.; Zhu, X.; Wang, L.; Qiu, Q.; Cao, Q. (2016). Ubiquitous robotic technology for smart manufacturing system. Computational Intelligence and Neuroscience, 2016, 1-14.

Wehle, H. D. (2016). Augmented Reality and the Internet of Things (IoT). Recuperado em: <https://www.researchgate.net/publication/288642701_Augmented_Reality_and_the_Internet_of_Things_IoT_Industry_40_en>. Acesso 28 jun. 2018.

Witkowski, K. (2017). Internet of Things, Big Data, Industry 4.0: Innovative Solutions in Logistics and Supply Chains Management. Procedia Engineering, 182, 763-769.

Zhong, Y. R.; Chen Xu, C. C.; George, Q. H. (2017). Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors. International Journal of Production Research, 55(9), 2610-2621.