INDÚSTRIA 4.0: DESAFIOS E OPORTUNIDADES

Beatrice Paiva Santos, Agostinho Alberto, Tânia Daniela Felgueiras Miranda Lima, Fernando Manuel Bigares Charrua-Santos

Abstract


A evolução das tecnologias de informação e sua introdução nos processos de produção está transformando a indústria tradicional, elevando-a para um novo patamar de desenvolvimento organizacional. A fim de aproveitar os benefícios dessas tecnologias para fortalecer a competitividade no mercado global, uma mudança de paradigma na fabricação está sendo discutida em todo mundo. Indústria 4.0 ou 4ª Revolução Industrial são alguns dos termos utilizados para descrever a implementação de dispositivos “inteligentes” que podem se comunicar de forma autônoma ao longo da cadeia de valor. Neste contexto, tecnologias como Cyber-physical systems (CPS) auto-organizam-se, monitorizam processos e criam uma cópia virtual do mundo real, a Internet of things (IoT) conecta máquinas, objetos e pessoas em tempo real e Cloud Computing oferece soluções de armazenagem, além de possibilitar a troca e gestão da informação permitindo que processos de produção e negócios sejam combinados criando valor para as organizações. O objetivo geral do estudo é intensificar o debate e fornecer uma visão geral da Indústria 4.0. Como objetivos específicos, este estudo pretende através de uma breve revisão da literatura descrever os seus componentes, os principais desafios e como a combinação de tecnologias avançadas e internet pode criar novas oportunidades para responder às exigências atuais.


Keywords


indústria 4.0; realidade aumentada; RFID; manufatura aditiva

References


ADRIAANSE, L.; RENSLEIGH, C. Web of science, scopus and google scholar: a content comprehensiveness comparison. The Electronic Library, [s.l.], v. 31, n.6, p. 727–744, 2013.

ALKAYA, E.; BOGURCU, M; ULUTAS, F.; DEMIRER, G.N. Adaptation to climate change in industry: emproving resource efficiency through sustainable production applications. Water Environment Research, [s.l.], v.87, n.1, p.14–25, 2015.

AYDOS, T. F.; FERREIRA, J. C. E. RFID-based system for Lean Manufacturing in the context of Internet of Things. In: IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, 2016, Fort Worth, Texas. Proceedings...[s.l.]: IEEE Robotics & Automation Letters (RA-L), 2016. p. 1140-1145.

BAHRIN, M.; OTHMAN, F.; AZLI, N.; TALIB, M. Industry 4.0: A review on industrial automation and robotic. Journal Teknologi, [s.l.], v. 78, n.6-13, p.137–143, 2016.

BAUER, W.; SCHLUND, S.; MARRENBACH, D.; GANSCHAR, O. (BITKOM). Industrie 4.0–volkswirtschaftliches potenzial. Berlin, 2014.

BAUERNHANSL, T.; TEN HOMPEL, M.; VOGEL-HEUSE, B. Industrie 4.0 in Produktion, Automatisierung und Logistik- Anwendung, Technologien und Migration. Alemanha: Springer Vieweg, 2014.

BHATTACHERJEE, A. Social science research: principles, methods, and practices. Flórida: Textbooks Collection, 2012.

BITKOM; VDMA; ZVI. Implementation strategy industrie 4.0: report on the results of the industrie 4.0 platform. Frankfurt, Alemanha, 2016.

BRINTRUP, A.; RANASINGHE, D.; MCFARLANE, D. RFID opportunity analysis for leaner manufacturing. International Journal of Production Research, [s.l.], v. 48, n.9, p. 2745-2764, 2010.

BROWN, D. RFID Implementation, Nova York, NY, EUA: McGRAW-Hill Communications, 2007.

CHEN, T.; LIN, Y.-C. Feasibility evaluation and optimization of a smart manufacturing system based on 3d printing: a review. International Journal of Intelligent Systems, [s.l.], v.32, n.4, p.394-413, 2017.

CHENG C.; GUELFIRAT, T.; MESSINGER, C.; SCHMITT, J.; SCHNELTE, M.; WEBER, P. Semantic degrees for industrie 4.0 engineering: deciding on the degree of semantic formalization to select appropriate technologies. In: EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND THE ACM SIGSOFT SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, 10., 2015, Bergamo. Proceedings... Nova York: ACM New York, 2015. p.1010–1013.

COTTELEER, M.; HOLDOWSKY, J.; MAHTO, M. The 3D opportunity primer: the basics of additive manufacturing. [s.l.]: Deloitte University Press, 2013. (A Deloitte series on additive manufacturing).

DELOITTE. Industry 4.0: challenges and solutions for the digital transformation and use of exponential technologies. Zurique, Suiça, 2015a.

DELOITTE. Industry 4.0: an introduction, Holanda, 2015b.

EUROPEAN COMMISSION. High performance production through 3D-printing, 2016a. Dsiponível em: . Acesso em 12 abril 2017.

EUROPEAN COMMISSION. SMEs to the industry 4.0, 2016b. Disponível em:

. Acesso em 12 abril 2017.

EUROPEAN PARLIAMENT. Industry 4.0. União Europeia, 2016.

FALK, M., KLIEN, M., SCHWARZ, G. Large manufacturing firms plan to increase their investments in 2015. results of the wifo spring 2015 investment survey. WIFO Monatsberichte (monthly reports), [s.l.], v.88, n.7, p. 581–591, 2015.

GORECKY, D.; CAMPOS, R.; CHAKRAVARTHY, H.; DABELOW, R.; SCHLICK, J.; ZÜHLKE, D. Mastering mass customization - a concept for advanced, human-centered assembly. Academic Journal of Manufacturing Engineering, [s.l.], v.2, n.11, p.62-67, 2013.

GORECKY, D.; SCHMITT, M.; LOSKYLL, M.; ZUHLKE, D. Human-machine-interaction in the industry 4.0 era. In: IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 12, 2014, Porto Alegre (RS), Brasil. Proceedings... [s.l]: IEEE, 2014.p.289-294.

HERMANN, M.; PENTEK, T.; OTTO, B. Design principles for industrie 4.0 scenarios: a literature review. In: ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 49., 2016, Estados Unidos. Proceedings... Washington, DC: IEEE Computer Society, 2016. p. 3928–3937.

KAGERMANN, H. Chancen von industrie 4.0 nutzen. In: Bauernhansl T.; ten Hompel M.; Vogel-Heuser B. (Eds). Industrie 4.0 in Produktion, Automatisierung und Logistik. Wiesbaden, Alemanha: Springer Vieweg, 2014. p.603-614.

KAGERMANN, H.; WAHLSTER, W.; HELBIG, J. Recommendations for implementing the strategic initiative industrie 4.0: final report of the industrie 4.0. Frankfurt, Alemanha, 2013.

KHAN, A.; TUROWSKI, K. A. Perspective on industry 4.0: from challenges to opportunities in production systems. In: INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND BIG DATA, 2016a, Roma. Proceedings... IOTBD: Science and Technology Publications, [s.d.], p. 441–448.

KHAN, A.; TUROWSKI, K. A survey of current challenges in manufacturing industry and preparation for industry 4.0. In: INTERNATIONAL SCIENTIFIC CONFERENCE “INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI’16), 1., 2016b, Sochi, Russia. Proceedings...[s.l]: Springer International Publishing, 2016, p.15–26.

LASI, H.; FETTKE, P.; KEMPER, H.G.; FELD, T.; HOFFMANN, M. Business & information systems engineering. The International Journal of WIRTSCHAFTSINFORMATIK, [s.l.], v.6, n.4, p.239-242, 2014.

MACDOUGALL,W. Industrie 4.0 smart manufacturing for the future. Alemanha, 2014.

MARTINEZ, F.; JIRSAK, P.; LORENC, M. Industry 4.0. The end Lean Management? In: INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 10, 2016, Praga.

PEREZ, C. Technological revolutions and techno-economic paradigms. Cambridge Journal of Economics, [s.l.], v. 34, n.1, p.185-202, 2010.

ROMERO, D.; STAHRE, J.; WUEST, T.; NORAN, O.; BERNUS, P.; FAST-BERGLUND, A.; GORECKY, D. Towards an operator 4.0 typology: a human-centric perspective on the fourth industrial revolution Technologies. In: INTERNATIONAL CONFERENCE ON COMPUTERS & INDUSTRIAL ENGINEERING (CIE46), 2016, Tianjin, China. Proceedings... Nova York, EUA: Curran Associates, Inc., 2017.p.1-11.

SCHMIDT, R.; MÖHRING, M.; HÄRTING, R.; REICHSTEIN, C.; NEUMAIER, P.; JOZINOVIĆ, P. Industry 4.0- potentials for creating smart products: empirical research results. In: INTERNATIONAL CONFERENCE ON BUSINESS INFORMATION SYSTEMS (BIS), 18., 2015, Poznán, Polônia. Proceedings...[s.l.]: Springer International Publishing, 2015, p.16-27.

TASSEY, G. Competing in advanced manufacturing: the need for improved growth models and policies. The Journal of Economic Perspectives, [s.l.], v.28, n.1, p.27-48, 2014.

THE BOSTON CONSULTING GROUP (BCG). Industry 4.0: the future of productivity and growth in manufacturing industries. Alemanha, 2015.

URBIKAIN, G.; ALVAREZ, A.; LÓPEZ DE LACALLE, L.N.; ARSUAGA, M.; ALONSO, M.A.; VEIGA, F. A reliable turning process by the early use of a deep simulation model at several manufacturing stages. Preprints, [s.l.], 2016.

WADHWA, R. Flexibility in manufacturing automation: a living lab case study of Norwegian metalcasting SMEs. Journal of Manufacturing Systems, [s.l.], v.31, n.4, p.444-454, 2012.

WEBER, A. Industry 4.0: myths vs. reality. Assembly Magazine, 2016. Disponível em:

. Acesso em 12 março 2017.

ZELBST, P.J.; GREEN JR, K.W.; SOWER, V.E. Impact of RFID technology utilization on operational performance. Management Research Review, [s.l.], v.33, n.10, p.994-1004, 2010.


Full Text: PDF (Portugal)

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.