Publicado

2021-08-09

Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020

Preparación para la Industria 4.0: un nuevo marco para la evaluación de la madurez basado en un estudio bibliométrico de artículos científicos de 2001 a 2020

DOI:

https://doi.org/10.15446/dyna.v88n218.92543

Palabras clave:

bibliometric study, maturity model, industry 4.0 readiness; (en)
estudio bibliométrico, industria 4.0, modelo de madurez (es)

Descargas

Autores/as

This article presents the scientific production over the last two decades concerning the terms Industry 4.0 and Maturity and introduces a conceptual framework for maturity evaluation based on the concept of industry 4.0 readiness. A bibliometric study based on the keywords Industry 4.0 and Maturity is conducted and main journals, authors, countries, and trends of maturity models are analyzed. Based on the analysis, a framework for measuring maturity to evaluate a company’s readiness for Industry 4.0 is introduced. The assessment enables companies to systematically increase the quality of their transformation by providing insights about their readiness level. The theoretical model suggests that the evaluation, when carried out with the detailed model, has the potential to allow companies to systematically increase the quality of their transformation by providing information on their level of readiness

El objetivo de este artículo es presentar la producción científica de las dos últimas décadas en relación con los términos Industria 4.0 y Madurez e introducir un nuevo concepto de madurez. Se realiza un estudio bibliométrico basado en las palabras clave Industria 4.0 y Madurez y se analizan las principales revistas, autores, países y tendencias de modelos de madurez. Sobre la base del análisis, se introduce un nuevo concepto para medir la madurez para evaluar la preparación de una empresa para la Industria 4.0. La evaluación permite a las empresas aumentar sistemáticamente la calidad de su transformación al proporcionar información sobre su nivel de preparación.

Referencias

Zhong, R.Y., Xu, X., Klotz, E. and Newman, S.T., Intelligent manufacturing in the context of industry 4.0: a review. Engineering,3(5), pp. 616-630, 2017. DOI: 10.1016/J.ENG.2017.05.015

Jazdi, N., Cyber-physical systems in the context of Industry 4.0, IEEE International Conference on Automation, Quality and Testing, Robotics, pp. 1-4, 2014. DOI: 10.1109/aqtr.2014.6857843

Lee, J., Bagheri, B. and Kao, H.A., A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, pp. 18-23, 2015. DOI:10.1016/j.mfglet.2014.12.001

Canetta, L., Barni, A. and Montini, E., Development of a digitalization maturity model for the manufacturing sector. In: 2018 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2018, pp. 1-7. DOI: 10.1109/ICE.2018.8436292

Unterhofer, M., Rauch, E., Matt, D.T. and Santiteerakul, S., Investigation of assessment and maturity stage models for assessing the implementation of industry 4.0. In: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018, pp. 720-725. DOI: 10.1109/ieem.2018.8607445

Schumacher, A., Erol, S. and Sihn, W., A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52(1), pp. 161-166, 2016. DOI:10.1016/j.procir.2016.07.040

Weitzel, S.D.R., Fluxo da informação científica. Comunicação e produção científica: contexto, indicadores, avaliação. São Paulo.Angellara, 2006.

Loureiro, A.F. and Ruffoni, J., Interactions in a local innovation system: the actors’ role in the development of semiconductor activity in Rio Grande do Sul/Brazil. Revista Espacios, 37(28), art. 17, 2016.

Gadelha, C.A.G., Development, healthindustrial complex and industrial policy. Revista de Saúde Pública, 40, pp. 11-23, 2016. DOI:10.1590/s0034-89102006000400003

Falagas, M.E., Kouranos, V.D., Arencibia-Jorge, R. and Karageorgopoulos, D.E., Comparison of SCImago Journal Rank Indicator with journal impact factor. The FASEB Journal, 22(8), pp.2623-2628, 2008. DOI: 10.1096/fj.08-107938

SCImago, SJR — SCImago Journal & Country Rank. [Online]. 2007. [Retrieved 01-Oct-2020]. Available at: http://www.scimagojr.com

Parkinson, B., The connected enterprise maturity model. Rockwell Automation, [Online]. 2014. Available at: https://literature.rockwellautomation.com/idc/groups/literature/documents/wp/cie-wp002_-en-p.pdf.

Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitt, E. and Schröter, M., IMPULSindustrie 4.0-readiness. Impuls-Stiftung des VDMA, Aachen-Köln, 2015.

Geissbauer, R., Vedso, J. and Schrauf, S., Industry 4.0: building the digital enterprise. PwC’s 2016 Global Industry 4.0 Survey, [Online]. 2016. Available at: https://www.pwc.com/gx/en/industries/industries-4.0/landing-page/industry-4.0-building-your-digital-enterprise-april-2016.pdf.

Ganzarain, J. and Errasti, N., Three-stage maturity model in SME's toward industry 4.0. Journal of Industrial Engineering and Management (JIEM), 9(5), pp. 1119-1128, 2016. DOI:10.3926/jiem.2073

Leyh, C., Bley, K., Schäffer, T. and Forstenhäusler, S., SIMMI 4.0-a maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4.0. In: 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1297-1302, 2016. IEEE. DOI: 10.15439/2016f478

Schuh, G., Anderl, R., Gausemeier, J., Ten Hompel, M. and Wahlster,W., Industrie 4.0 maturity index: Managing the digital transformation of companies. Acatech STUDY: Munich Utz, Herbert, [Online]. 2017.Available at: https://www.acatech.de/wp-content/uploads/2018/03/acatech_STUDIE_Maturity_Index_eng_WEB.pdf

De Carolis, A., Macchi, M., Negri, E. and Terzi, S., A maturity model for assessing the digital readiness of manufacturing companies. In:IFIP International Conference on Advances in Production Management Systems, pp. 13-20, 2017. DOI: 10.1007/978-3-319-66923-6_2

Gökalp, E., Şener, U. and Eren, P.E., Development of an assessment model for industry 4.0: industry 4.0-MM. In: International Conference on Software Process Improvement and Capability Determination, Springer, Cham., 2017, pp. 128-142. DOI: 10.1007/978-3-319-67383-7_10

Sjödin, D.R., Parida, V., Leksell, M. and Petrovic, A., Smart factory implementation and process innovation: a preliminary maturity model for leveraging digitalization in manufacturing moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research-Technology Management, 61(5), pp. 22-31, 2018. DOI:10.1080/08956308.2018.1471277

Pacchini, A.P.T., Lucato, W.C., Facchini, F. and Mummolo, G., The degree of readiness for the implementation of Industry 4.0. Computers in Industry, 113, art. 103125, 2019. DOI:10.1016/j.compind.2019.103125

Trotta, D. and Garengo, P., Assessing Industry 4.0 Maturity: an essential scale for SMEs. In: 2019 8th International Conference on Industrial Technology and Management (ICITM), 2019, pp. 69-74. DOI:10.1109/icitm.2019.8710716

Pirola, F., Cimini, C. and Pinto, R., Digital readiness assessment of Italian SMEs: a case-study research. Journal of Manufacturing Technology Management, 2019. DOI: 10.1108/jmtm-09-2018-0305

Caiado, R.G.G., Scavarda, L.F., Gavião, L.O., Ivson, P., Nascimento, D.L. de M. and Garza-Reyes, J.A., A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. International Journal of Production Economics, 231, art.107883, 2021.DOI: 10.1016/j.ijpe.2020.107883.

Rafael, L.D., Jaione, G.E., Cristina, L. and Ibon, S.L., An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, 159, art. 120203, 2020. DOI:10.1016/j.techfore.2020.120203

Schneider, P., Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field. Review of Managerial Science, 12(3), pp. 803-848, 2018. DOI: 10.1007/s11846-018-0283-2

Bücker, I., Hermann, M., Pentek, T., Otto, B., Towards a methodology for Industrie 4.0 transformation. Lecture Notes in Business Transformation Processing, 255, pp. 209-221, 2016. DOI:10.1007/978-3-319-39426-8_17

Kohlegger, M., Maier, R. and Thalmann, S., Understanding maturity models. Results of structured content analysis. Proceedings of 9th International Conference on Knowledge Management and Knowledge Technologies and 5th International Conference on Semantic Systems.2009, pp. 51-61.

Chrissis, M.B., Konrad, M., and Shrum, S., CMMI: guidelines for process integration and product improvement. Addison-Wesley: Boston, USA, 2006.

Tukker, A. and Tischner, U., New business for old Europe: productservice development, competitiveness, and sustainability. Routledge, Taylor Francis Group, New York, USA, 2017.

Tetlay, A., Capability readiness for product-service systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225(8), pp. 1471-1477, 2011.

Jiankang, W. et al., Knowledge management maturity models: asystemic comparison. In: 2011 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2011. pp. 606-609. DOI: 10.1109/iciii.2011.420

Pessl, E., Sorko, S.R. and Mayer, B., Roadmap Industry 4.0–implementation guideline for enterprises. International Journal of Science, Technology and Society, 5(6), pp. 193-202, 2017. DOI:10.11648/j.ijsts.20170506.14

Singapore Smart Industry Readiness EDB. The Smart Industry Readiness, 2018, 46 P.

Akdil, K.Y., Ustundag, A. and Cevikcan, E., Maturity and readiness model for industry 4.0 strategy. In: Industry 4.0: Managing the digital transformation. Springer, Cham, 2018. pp. 61-94. DOI: 10.1007/978-3-319-57870-5_4

Mittal, S., Khan, M.A., Romero, D. and Wuest, T., A critical review of smart manufacturing & Industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, pp. 194-214, 2018. DOI: 10.1016/j.jmsy.2018.10.005

Colli, M.et al., Contextualizing the outcome of a maturity assessment for Industry 4.0. Ifac-papersonline, 51(11), pp. 1347-1352, 2018. DOI:10.1016/j.ifacol.2018.08.343

Asdecker, B. and Felch, V., Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, 13(4), pp. 840-883, 2018. DOI: 10.1108/jm2-03-2018-0042

Puchan, J., Zeifang, A. and Leu, J.-D., Industry 4.0 in practiceidentification of industry 4.0 success patterns. In: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. pp. 1091-1095. DOI:10.1109/ieem.2018.8607580

Gaur, L. and Ramakrishnan, R., Developing Internet of things maturity model (IoT-MM) for manufacturing. International Journal of Innovative Technology and Exploring Engineering, 9(1), pp. 2473-2479, 2019. DOI: 10.35940/ijitee.a4168.119119

Vrchota, J. et al., Human resources readiness for industry 4.0. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), art. 3,2020. DOI: 10.3390/joitmc6010003

Santos, R.C., Martinho, J.L., An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 31(5), pp. 1023- 1043, 2019. DOI: 10.1108/jmtm-09-2018-0284

Bandara, O.K.K., Tharaka, V.K. and Wickramarachchi, A.P.R.,Industry 4.0 maturity assessment of the Banking Sector of Sri Lanka. In: 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE, 2019. pp. 190-195. DOI:10.23919/scse.2019.8842818

Rojko, A., Industry 4.0 concept: background and overview. International Journal of Interactive Mobile Technologies, 11(5), pp.77-90, 2017. DOI: 10.3991/ijim.v11i5.7072

Cómo citar

IEEE

[1]
I. Ambrosio da Silva, S. Cesar Macedo Barbalho, T. Adam, I. Heine, y R. Schmitt, «Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020», DYNA, vol. 88, n.º 218, pp. 101–109, jul. 2021.

ACM

[1]
Ambrosio da Silva, I., Cesar Macedo Barbalho, S., Adam, T., Heine, I. y Schmitt, R. 2021. Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020. DYNA. 88, 218 (jul. 2021), 101–109. DOI:https://doi.org/10.15446/dyna.v88n218.92543.

ACS

(1)
Ambrosio da Silva, I.; Cesar Macedo Barbalho, S.; Adam, T.; Heine, I.; Schmitt, R. Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020. DYNA 2021, 88, 101-109.

APA

Ambrosio da Silva, I., Cesar Macedo Barbalho, S., Adam, T., Heine, I., & Schmitt, R. (2021). Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020. DYNA, 88(218), 101–109. https://doi.org/10.15446/dyna.v88n218.92543

ABNT

AMBROSIO DA SILVA, I.; CESAR MACEDO BARBALHO, S.; ADAM, T.; HEINE, I.; SCHMITT, R. Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020. DYNA, [S. l.], v. 88, n. 218, p. 101–109, 2021. DOI: 10.15446/dyna.v88n218.92543. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/92543. Acesso em: 9 ago. 2022.

Chicago

Ambrosio da Silva, Isaac, Sanderson Cesar Macedo Barbalho, Tobias Adam, Ina Heine, y Robert Schmitt. 2021. «Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020». DYNA 88 (218):101-9. https://doi.org/10.15446/dyna.v88n218.92543.

Harvard

Ambrosio da Silva, I., Cesar Macedo Barbalho, S., Adam, T., Heine, I. y Schmitt, R. (2021) «Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020», DYNA, 88(218), pp. 101–109. doi: 10.15446/dyna.v88n218.92543.

MLA

Ambrosio da Silva, I., S. Cesar Macedo Barbalho, T. Adam, I. Heine, y R. Schmitt. «Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020». DYNA, vol. 88, n.º 218, julio de 2021, pp. 101-9, doi:10.15446/dyna.v88n218.92543.

Turabian

Ambrosio da Silva, Isaac, Sanderson Cesar Macedo Barbalho, Tobias Adam, Ina Heine, y Robert Schmitt. «Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020». DYNA 88, no. 218 (julio 28, 2021): 101–109. Accedido agosto 9, 2022. https://revistas.unal.edu.co/index.php/dyna/article/view/92543.

Vancouver

1.
Ambrosio da Silva I, Cesar Macedo Barbalho S, Adam T, Heine I, Schmitt R. Industry 4.0 Readiness: a new framework for maturity evaluation based on a bibliometric study of scientific articles from 2001 to 2020. DYNA [Internet]. 28 de julio de 2021 [citado 9 de agosto de 2022];88(218):101-9. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/92543

Descargar cita

Dimensions

PlumX

Descargas

Los datos de descargas todavía no están disponibles.

Visitas a la página del resumen del artículo

233