Industry 4.0 maturity model in the context of state of Espírito Santo
DOI:
https://doi.org/10.14488/1676-1901.v24i2.5151Keywords:
Industry 4.0, Maturity Model, Manufacturing companiesAbstract
The aim of this paper is to develop a manufacturing maturity model for implementing Industry 4.0 technologies. The study was based on the methodology of De Bruin et al. (2005). The study contributes by providing insights into how the maturity model can help companies to see their strengths and weaknesses in order to improve the level of maturity of Industry 4.0 in these organizations. The model is specifically developed based on the specified objectives, factors and barriers, addressing the complexity of Industry 4.0 with a focus on manufacturing. To this end, a questionnaire was administered to 25 employees of companies in Espírito Santo, Brazil, with the aim of validating the model found and identifying the level of maturity of the organizations studied. The maturity model found consists of five maturity levels, three dimensions and 27 elements. The questionnaire applied resulted in a maturity level of 59.7%, obtaining an intermediate classification, meaning a partial use of Industry 4.0 technologies in the companies studied. A comparison was made between the Mining, Electrical, IT, Steel and Metallurgy sectors. The results showed that the Steel and Mining sectors have the highest maturity values and the IT and Metallurgy sectors have the lowest Industry 4.0 maturity values. A limitation of the study is the subjectivity inherent in the use of questionnaires. As a future suggestion, it is possible to identify the relationships between the elements presented in the maturity model.
Downloads
References
ASDECKER, B.; FELCH, V. Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, v. 13, nº.4, pp. 840–883, 2018. DOI: https://doi.org/10.1108/JM2-03-2018-0042/FULL/PDF
CAIADO, R. G. G.; SCAVARDA, L. F.; GAVIÃO, L. O.; IVSON, P.; NASCIMENTO, D. L. de M., & GARZA-REYES, J. A. A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. International Journal of Production Economics, v. 231, nº. 107883, 2021. DOI: https://doi.org/10.1016/J.IJPE.2020.107883
CASTELO-BRANCO, I.; OLIVEIRA, T.; SIMÕES-Coelho, P.; PORTUGAL, J.; FILIPE, I. Measuring the fourth industrial revolution through the Industry 4.0 lens: The relevance of resources, capabilities and the value chain. Computers in Industry, v. 138, nº. 103639, 2022. DOI: https://doi.org/10.1016/J.COMPIND.2022.103639
COLLI, M.; BERGER, U.; BOCKHOLT, M.; MADSEN, O.; MØLLER, C.; WÆHRENS, B. V. A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annual Reviews in Control, v. 48, pp. 165–177, 2019. DOI: https://doi.org/10.1016/J.ARCONTROL.2019.06.001
CULOT, G.; NASSIMBENI, G.; ORZES, G.; SARTOR, M. Behind the definition of Industry 4.0: Analysis and open questions. International Journal of Production Economics, v. 226, nº 107617, 2020. DOI: https://doi.org/10.1016/J.IJPE.2020.107617
DAL FORNO, A. J., BATAGLINI, W. V., STEFFENS, F., & ULSON DE SOUZA, A. A. Maturity model toll to diagnose Industry 4.0 in the clothing industry. Journal of Fashion Marketing and Management: An International Journal, v. 27, n º2, pp. 201-219, 2023.
DALMARCO, G.; RAMALHO, F. R.; BARROS, A. C.; SOARES, A. L. Providing industry 4.0 technologies: The case of a production technology cluster. The Journal of High Technology Management Research, v. 30, nº 2, 100355, 2019. DOI: https://doi.org/10.1016/J.HITECH.2019.100355
DA CUNHA, L. M. A. Modelos Rasch e Escalas de Likert e Thurstone na medição de atitudes, Master’s thesis, Universidade de Lisboa. Repositório ULisboa, 2007. DOI: https://repositorio.ul.pt/bitstream/10451/1229/1/18914_ULFC072532_TM.pdf
DE BRUIN, T.; FREEZE, R. D.; KULKARNI, U.; ROSEMANN, M. Understanding the Main Phases of Developing a Maturity Assessment Model. 16th Australasian Conference on Information Systems, 2005. Disponível em: https://www.researchgate.net/publication/27482282_Understanding_the_Main_Phases_of_Developing_a_Maturity_Assessment_Model. Acesso em 03 de julho 2022.
FERREIRA, W.; ARMELLINI, F.; DE SANTA-EULALIA, L. A.; THOMASSET-LAPERRIÈRE, V. A framework for identifying and analysing industry 4.0 scenarios. Journal of Manufacturing Systems, v. 65, pp. 192–207, 2022. DOI: https://doi.org/10.1016/J.JMSY.2022.09.002
FERREIRA, Duan Vilela. Modelo de maturidade da indústria 4.0 para avaliação de processos têxteis. 2021. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Pernambuco, Caruaru, 2021. DOI: https://repositorio.ufpe.br/handle/123456789/43947
FRANK, A. G.; DALENOGARE, L. S.; AYALA, N. F. Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, v. 210, pp. 15–26, 2019. DOI: https://doi.org/10.1016/J.IJPE.2019.01.004
GAJDZIK, B. Frameworks of the Maturity Model for Industry 4.0 with Assessment of Maturity Levels on the Example of the Segment of Steel Enterprises in Poland. Journal of Open Innovation: Technology, Market, and Complexity,v.. 8, nº 2, pp. 77, 2022, 2022. DOI: https://doi.org/10.3390/JOITMC8020077
GHOBAKHLOO, M.; FATHI, M.; IRANMANESH, M.; MAROUFKHANI, P.; MORALES, M. E. Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants. Journal of Cleaner Production, v.. 302, nº 127052, 2021. DOI: https://doi.org/10.1016/J.JCLEPRO.2021.127052
GÜRDÜR, D.; EL-KHOURY, J.; TÖRNGREN, M. Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results. Computers in Industry, v. 105, pp. 153–163, 2019. DOI: https://doi.org/10.1016/J.COMPIND.2018.12.011
KIRAZ, A.; CANPOLAT, O.; ÖZKURT, C.; TAŞKIN, H. Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application. Computers & Industrial Engineering, v.. 150, nº 106911, 2020. DOI: https://doi.org/10.1016/J.CIE.2020.106911
KIRMIZI, M.; KOCAOGLU, B. Digital transformation maturity model development framework based on design science: case studies in manufacturing industry. Journal of Manufacturing Technology Management, v.. 33, nº 7, pp. 1319–1346, 2022. DOI: https://doi.org/10.1108/JMTM-11-2021-0476/FULL/PDF
LIEBRECHT, C.; KANDLER, M.; LANG, M.; SCHAUMANN, S.; STRICKER, N.; WUEST, T.; LANZA, G. Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0. Journal of Manufacturing Systems, v. 58, pp. 412–430, 2021. DOI: https://doi.org/10.1016/J.JMSY.2020.12.008
MAHMOODI, E.; FATHI, M.; GHOBAKHLOO, M. The impact of Industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives. Computers & Industrial Engineering, v. 174, nº 108801, 2022. DOI: https://doi.org/10.1016/J.CIE.2022.108801
MENEZES, I. de A. C.; GALEGALE, N. V.; FEITOSA, M. D. Vulnerabilidades de segurança da informação na indústria 4.0: proposição decritérios para o uso de análise multicritério. Exacta, 2022. DOI: https://doi.org/10.5585/exactaep.2022.21683
MONSHIZADEH, F.; MOGHADAM, M. R. S.; MANSOURI, T.; KUMAR, M. Developing an industry 4.0 readiness model using fuzzy cognitive maps approach. International Journal of Production Economics, v. 255, nº 108658, 2023. DOI: https://doi.org/10.1016/J.IJPE.2022.108658
OLIVEIRA JÚNIOR, Libório de. Modelo de maturidade para a indústria 4.0 para PME’s brasileiras: um estudo de caso em uma indústria de ração animal. 2018. 101 f. Dissertação (Mestrado em Engenharia de Produção e Sistemas) - Universidade Tecnológica Federal do Paraná, Pato Branco, 2018. DOI: http://repositorio.utfpr.edu.br:8080/jspui/handle/1/4067
PACCHINI, A. P. T.; LUCATO, W. C.; FACCHINI, F.; MUMMOLO, G. The degree of readiness for the implementation of Industry 4.0. Computers in Industry, Vol. 113, nº 103125, 2019. DOI: https://doi.org/10.1016/J.COMPIND.2019.103125
RAFAEL, L. D.; JAIONE, G. E.; CRISTINA, L.; IBON, S. L. An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, v. 159, nº 120203, 2020. DOI: https://doi.org/10.1016/J.TECHFORE.2020.120203
SANTOS, Reginaldo Carreiro. Proposta de modelo de avaliação de maturidade da indústria 4.0. 2018. 128 f. Dissertação (Mestrado em Engenharia e Gestão Industrial) - Instituto Superior de Engenharia de Coimbra, Coimbra, 2018. DOI: http://hdl.handle.net/10400.26/25346
SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, v. 31, nº 5, pp. 1023–1043, 2020. DOI: https://doi.org/10.1108/JMTM-09-2018-0284/FULL/PDF
SCHUH, G.; ANDERL, R.; GAUSEMEIER, J.; HOMPEL, M. tem; WAHLSTER, W. Industrie 4.0 maturity index managing the digital transformation of companies (acatech STUDY). Munich: Herbert Utz Verlag, 2017. Disponível em: https://en.acatech.de/publication/industrie-4-0-maturity-index-managing-the-digital-transformation-of-companies/. Acesso em 26 jan. 2023.
SENNA, Pedro P; FERREIRA, Luís Miguel D.F.; BARROS, Ana C.; ROCA, Jaime Bonnín; MAGALHÃES, Vanessa.. Prioritizing barriers for the adoption of Industry 4.0 technologies. Computers & Industrial Engineering, v. 171, nº 108428, 2022. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S0360835222004661. Acesso em: 6 ago. 2022.
SILVA, A. A. G.; MELO, F. J. C.; SOBRAL, E. F. M.; AMORIM, B. P.; GUIMARÃES, D. S. Jr.; VITAL, S. Nível de maturidade digital em empresas Pernambucanas. Exacta, artigo aceito online, 2023. DOI: https://doi.org/10.5585/2023.22674
SILVA, Felipe; AMORIM, Marlene; RESENDE, David. Um estudo sobre a aplicação dos conceitos e elementos da indústria 4.0 na produção de biomedicamentos. Revista Produção Online, v. 20, n. 2, p. 493-520, 2020. DOI: http://dx.doi.org/10.14488/1676-1901.v20i2.3843
ÜNAL, C.; SUNGUR, C.; YILDIRIM, H. Application of the Maturity Model in Industrial Corporations. Sustainability, v. 14, nº15, pp. 9478, 2022. DOI: https://doi.org/10.3390/SU14159478/S1
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista Produção Online
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Journal reserves the right to make spelling and grammatical changes, aiming to keep a default language, respecting, however, the style of the authors.
The published work is responsibility of the (s) author (s), while the Revista Produção Online is only responsible for the evaluation of the paper. The Revista Produção Online is not responsible for any violations of Law No. 9.610 / 1998, the Copyright Act.
The journal allows the authors to keep the copyright of accepted articles, without restrictions
This work is licensed under a Creative Commons License .
