Technological Investment: limits and impacts in the State of Alagoas from the perspective of Industry 4.0
DOI:
https://doi.org/10.9771/cp.v14i3.36429Keywords:
Industry 4.0, Technological Investment, Industry.Abstract
The importance of technological investment grows within the industry 4.0. The article aims to analyze the level of technological investment in Alagoas from the 4.0 industry perspective. Specifically, aims to identify the profile of the industrial structure, analyze the composition of technological investments, the use of 4.0 industry technologies and the technologies that industry intends to invest in the coming years. It aims to answer the following research question: what are the limits and impacts of technological investment from the 4.0 industry perspective? The study is quali-quantitative, being descriptive as to the objectives. To this end, it applied a survey to a sample of 150 industries, configuring a margin of error of 7.5% and a 95% confidence interval. It is possible to measure as a result that the industry has a reduced level of investment in enabling technologies 4.0, but with a forecast of higher levels in the coming years.
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References
AGWU, Okorie; AKPABIO, Julius. Using agro-waste materials as possible filter loss control agents in drilling muds: a review. Journal of Petroleum Science and Engineering, [s.l.], 2018. DOI: 163. 10.1016/j.petrol.2018.01.009.
AHUETT-GARZA, Horacio; KURFESS, T. A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart Manufacturing. Manufacturing Letters, [s.l.], 2018. DOI: 15. 10.1016/j.mfglet.2018.02.011.
ARDITO, L.; D'ADDA, D.; PETRUZZELLI, A. M. Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis. Technol. Forecast. Soc. Chang. [s.l.], v. 136, p. 317-330, 2018.
BILLINGHURST, Mark; CLARK, Adrian; LEE, Gun. A Survey of Augmented Reality. Foundations and Trends® in Human-Computer Interaction, 2015. DOI: 8. 73-272. 10.1561/1100000049.
BONGOMIN, O. et al. Exponential Disruptive Technologies and the Required Skills of Industry 4.0. Journal of Engineering, [s.l.], p. 1-17, 2020. Disponível em: http://dx.doi.org/10.1155/2020/428015. Acesso em: 4 out. 2020.
BOYES, H. et al. The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 2018. DOI: 101. 1-12. 10.1016/j.compind.2018.04.015.
CHATZOPOULOS, D. et al. Mobile Augmented Reality Survey: From Where We Are to Where We Go. IEEE Access, [s.l.], v. 5, p. 6.917-6.950, 2017.
CHEN, B. et al. Smart factory of industry 4.0: key technologies, application case, and challenges. IEEE Access, [s.l.], v. 6, p. 6.505-6.519, 2018.
CHIARELLO, F. et al. Extracting and mapping industry 4.0 technologies using wikipedia. Computers in Industry. 2018. DOI: 100. 244-257. 10.1016/j.compind.2018.04.006.
COLEMAN, S. et al. Quality and Reliability Engineering International, [s.l.], v. 32, n. 6, 2016.
DECHEZLEPRÊTRE, A.; MÉNIÈRE, Y.; MOHNEN, M. International patent families: from application strategies to statistical indicators. Scientometrics, [s.l.], v. 111, p. 793-828, 2017. DOI: https://doi.org/10.1007/s11192-017-2311-4.
EPO – EUROPEAN PARLIAMENT OFFICE. 3D Bio-Printing for Medical and Enhancement Purposes: Legal and Ethical Aspects’9, 2018. Disponível em: http://www.europarl.europa.eu/RegData/etudes/IDAN/2018/614571/EPRS_IDA(2018)614571(ANN2) _EN.pdf. Acesso em: 25 mar. 2020.
FIEA – FEDERAÇÃO DA INDÚSTRIA DE ALAGOAS. Cadastro Industrial. Alagoas: FIEA, 2015.
FIEA – FEDERAÇÃO DA INDÚSTRIA DE ALAGOAS. Relatório de Pesquisa de Desempenho Industrial, Maceió, 2020. Disponível em: https://fiea.org.br/publicacoes. Acesso em: 20 mar. 2020.
FIEA – FEDERAÇÃO DA INDÚSTRIA DE ALAGOAS. Trajetória da Indústria em Alagoas: 1850/2017: Federação das Indústrias do Estado de Alagoas, Instituto Euvaldo Lodi. 1. ed. Maceió: FIEA, 2018. Disponível em: https://ielal.com.br/public/documentos/livro-trajetoria-da-industria-em-alagoas-1850-2017-1-1-.pdf. Acesso em: 20 mar. 2020.
FORREST, E.; HOANCA, B. Artificial intelligence: Marketing’s game changer. In: TSIAKIS, T. (ed.). Trends and innovations in marketing information systems Hersey, PA: IGI Global, 2015. p. 45-64.
FORSTNER, L.; DÜMMLER, M. Integrierte Wertschöpfungsnetzwerke-Chancen und Potenziale durch Industrie 4.0. Elektrotechnik und Informationstechnik, [s.l.], v. 131, n. 7, p. 199-201, 2018.
FRANK, A.; DALENOGARE, L.; AYALA, N. Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, [s.l.], 2019. DOI: 210. 10.1016/j.ijpe.2019.01.004.
GHOBAKHLOO, Morteza; CHING, N. G Tan. Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, [s.l.], v. 16, p. 100-107, 2019. DOI: https://doi.org/10.1016/j.jii.2019.100107.
HE, Q. P.; WANG, J. Statistical process monitoring as a big data analytics tool for smart manufacturing. Journal of Process Control, [s.l.], v. 67, p. 35-43, 2018.
KAGERMANN, H.; WAHLSTER, W.; HELBIG, J. Recommendations for implementing the strategic initiative Industrie 4.0, Final report of the Industrie 4.0. Working Group, [s.l.], p. 1-82, April, 2013.
KIEL, D. et al. Sustainable industrial value creation: benefits and challenges of industry 4.0, Int. J. Innov. Manag, [s.l.], 2017. DOI: https://doi.org/10.1142/S1363919617400151.
KUO, C. C.; SHYU. J. Z.; DING, K. Industrial revitalization via industry 4.0 e A comparative policy analysis among China, Germany and the USA. Global Transitions, [s.l.], 2019.
LIAO, Y.; DESCHAMPS, F.; LOURES, E. Past, present and future of industry 4.0: a systematic literature review and research agenda proposal. International Journal of Production Research, [s.l.], v. 55, n. 12, p. 3.609-3.629, 2017. DOI: http://dx.doi.org/10.1080/00207543.2017.1308576.
LU, Y. Industry 4.0: a survey on technologies, applications and open research issues. Journal of Industrial Information Integration, [s.l.], v. 6, p. 1-10, 2017. DOI: https://doi.org/10.1016/j.jii.2017.04.005.
LU, Hsi-Peng; WENG, Chien-I. Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry. Technological Forecasting and Social Change, [s.l.], 2018. DOI: 133. 10.1016/j.techfore.2018.03.005.
MENDONÇA, C.; ANDRADE, A.; NETO, M. Uso da IoT, Big Data e inteligência artificial nas capacidades dinâmicas. Revista Pensamento Contemporâneo em Administração, 2018. DOI: 12. 131. 10.12712/rpca.v12i1.1120.
OLIVEIRA, L. E. S.; ÁLVARES, A. J. Axiomatic design applied to the development of a system for monitoring and teleoperation of a cnc machine through the internet. The 10th International Conference on Axiomatic Design, ICAD, 2016.
RADZIWILL, N. M. The Fourth Industrial Revolution, Quality Management Journal, [s.l.], v. 25, n. 2, p. 108-109, 2018. DOI: 10.1080/10686967.2018.1436355.
SAMPIERI, R.; COLLADO, C.; LUCIO, P. Metodología de la Investigación. [S.l.]: McGraw-Hill, 1991.
SANTA RITA, L. P. et al. Estimativa do Índice de Competitividade da Indústria: O caso de Alagoas. Revista de Administração e Inovação, São Paulo, v. 10, n. 4, p. 136-163, out.-dez. 2013.
SCHROEDER, A. Z. B.; ZARCO, C. G.; BAINES, T. Capturing the benefits of industry 4.0: a business network perspective, Production Planning & Control, 30:16, 1305-1321, 2019. DOI: 10.1080/09537287.2019.1612111.
SHROUF, F. et al. Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused. [S.l.]: PWC Report, 2016. Disponível: http://www.strategyand.pwc.com/media/file/Industry4.0.pdf. Acesso: 20 mar. 2020.
SVEN-VEGARD BUER, Jan Ola Strandhagen; FELIX, T. S. Chan. The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda, International Journal of Production Research, [s.l.], v. 56, n. 8, p. 2.924-2.940, 2018. DOI: 10.1080/00207543.2018.1442945.
TAO, F. et al. Data-driven smart manufacturing. Journal of Manufacturing Systems, [s.l.], v. 48, p. 157-169, 2018.
THOBEN, Klaus-Dieter; WIESNER, Stefan; WUEST, Thorsten. Industrie 4.0 and Smart Manufacturing – a Review of Research Issues and Application Examples. International Journal of Automation Technology, [s.l.], v. 11, p. 4-19, 2017. DOI: 10.20965/ijat.2017.p0004.
TIACCI, L. Object-oriented event-graph modeling formalism to simulate manufacturing systems in the Industry 4.0 era. Simulation Modelling Practice and Theory, [s.l.], v. 99, February, 2020.
UNIDO, Industry 4.0: Opportunities behind the Challenge, Background Paper, Vienna, Austria, 2017.
XU, M.; DAVID, J. M.; KIM, S. H. The Fourth Industrial Revolution: Opportunities and Challenges, Int. J. Financ. Res., [s.l.], v. 9, n. 2, p. 90-95, 2018.
YANG, H. et al. The Internet of Things for Smart Manufacturing: a Review IIE Transactions, [s.l.], p. 1-35, 2019. DOI:10.1080/24725854.2018.1555383.
ZHONG, B. et al. Patent cooperative patterns and development trends of Chinese construction enterprises: A network analysis. Journal of Civil Engineering and Management, [s.l.], v. 25, n. 3, p. 228-240, 2019. DOI: https://doi.org/10.3846/jcem.2019.8137.
ZHU Z.; LIU, C.; XU, X. Visualisation of the digital twin data in manufacturing by using augmented reality. Procedia CIRP, [s.l.], v. 81, p. 898-903, 2019.
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