Industry 4.0 readiness model designed for public research centers and universities

Authors

DOI:

https://doi.org/10.56162/transdigital341

Keywords:

industry 4.0, reference model for I4.0, digital transformation, academy

Abstract

In this research, a quantitative diagnostic instrument was developed to evaluate the technological capabilities that public research centers and universities must develop projects related to Industry 4.0 technologies. Because the characteristics and development objectives of projects carried out in an academic environment differ from those developed within an industrial environment, the diagnostic instruments found in the literature cannot be fully applied to academic projects. This research aimed to develop a model that focuses on studying the technological dimensions, as well as the capabilities of people framed in an academic field, leaving aside the areas related to products and businesses. The questionnaire developed was answered by researchers who work in Mexican institutions and who are in charge of research related to technology. The readiness model developed evaluates the three dimensions that are common to industry and academia: personnel, manufacturing and functions based on the collected data. The proposed model can be used to identify areas that need to be reinforced when working on technological projects.

References

Agca, O., Gibson, J., Godsell, J., Ignatius, J., Davis, C. W., & Xu, O. (2021). An Industry 4 readiness assessment too (p. 11) [Report]. International Institute for Product and Service Innovation, University of Warwick. https://warwick.ac.uk/fac/sci/wmg/research/scip/reports/final_version_of_i4_report_for_use_on_websites.pdf

Akdil, K. Y., Ustundag, A., & Cevikcan, E. (2018). Maturity and Readiness Model for Industry 4.0 Strategy. En A. Ustundag & E. Cevikcan, Industry 4.0: Managing the Digital Transformation (pp. 61-94). Springer International Publishing. https://doi.org/10.1007/978-3-319-57870-5_4

Amaral, A., & Peças, P. (2021). A framework for assessing manufacturing SMEs Industry 4.0 maturity. Applied Sciences, 11(13), 6127. https://doi.org/10.3390/app11136127

Arden, N. S., Fisher, A. C., Tyner, K., Lawrence, X. Y., Lee, S. L., & Kopcha, M. (2021). Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future. International Journal of Pharmaceutics, 602, 120554. https://doi.org/10.1016/j.ijpharm.2021.120554

Arden, J., & Doucek, P. (2019). A metamodel for evaluating enterprise readiness in the context of Industry 4.0. Information, 10(3), 89. https://doi.org/10.3390/info10030089

Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels – case of the defense sector. Production Planning & Control, 29(12), 1030-1043. https://doi.org/10.1080/09537287.2018.1503355

Bousdekis, A., Lepenioti, K., Apostolou, D., & Mentzas, G. (2021). A review of data-driven decision-making methods for industry 4.0 maintenance applications. Electronics, 10(7), 828. https://doi.org/10.3390/electronics10070828

Bruschieri, S., & Rizzi, G. (2019). Piano Nazionale Impresa 4.0: Panoramica e aggiornamenti [Brochure]. Ministero dello Sviluppo Economico. https://www.cn.camcom.it/sites/default/files/uploads/documents/Atti_convegni/atti2019/Finanziamenti40/Bruschieri%20Rizzi.pdf

Butt, J. (2020). A strategic roadmap for the manufacturing industry to implement industry 4.0. Designs, 4(2), 11. https://doi.org/10.3390/designs4020011

CIDE. (2020). Cátedras Conacyt. Canal oficial de YouTube del Centro de Investigación y Docencia Económicas [Video]. https://www.youtube.com/watch?v=0239VC3DF1A

El Colegio de Sonora. (2024). ¿Qué es el programa Investigadores(as) por México? Canal oficial de YouTube de El Colegio de Sonora [Video]. https://www.youtube.com/watch?v=PFvMHozPyNY

De Carolis, A., Macchi, M., Kulvatunyou, B., Brundage, M. P., & Terzi, S. (2017). Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments. En J. Ríos, A. Bernard, A. Bouras, & S. Foufou (Eds.), Product Lifecycle Management and the Industry of the Future (Vol. 517, pp. 23-35). Springer International Publishing. https://doi.org/10.1007/978-3-319-72905-3_3

Geissbauer, R., Vedso, J., & Schrauf, S. (2016). Industry 4.0: Building the digital enterprise. (2016 Global Industry 4.0 Survey) [Brochure]. PWC. https://www.pwc.com/gx/en/industries/industries-4.0/landing-page/industry-4.0-building-your-digital-enterprise-april-2016.pdf

Ghobakhloo, M. (2018). The future of manufacturing industry: A strategic roadmap toward Industry 4.0. Journal of manufacturing technology management, 29(6), 910-936. https://doi.org/10.1108/JMTM-02-2018-0057

Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for industrie 4.0 scenarios. 2016 49th Hawaii international conference on system sciences (HICSS), 3928-3937. https://ieeexplore.ieee.org/abstract/document/7427673/

Hizam-Hanafiah, M., Soomro, M. A., & Abdullah, N. L. (2020). Industry 4.0 readiness models: A systematic literature review of model dimensions. Information, 11(7), 364. https://doi.org/10.3390/info11070364

IMPULS. (2015). Industry 4.0 Readiness Online Self-Check for Businesses. IMPULS Foundation. https://www.industrie40-readiness.de/?lang=en

Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021). Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions. Applied Sciences, 11(12), 5725. https://doi.org/10.3390/app11125725

Jirkovsk?, V., Obitko, M., & Ma?ík, V. (2016). Understanding data heterogeneity in the context of cyber-physical systems integration. IEEE Transactions on Industrial Informatics, 13(2), 660-667. https://doi.org/10.1109/TII.2016.2596101

Mayusda, I., & Wiratmadja, I. I. (2020). The Development of Industry 4.0 Readiness Model. Case Study in Indonesia’s Priority Industrial Sector of Chemical. En M. N. Osman Zahid, R. Abd. Aziz, A. R. Yusoff, N. Mat Yahya, F. Abdul Aziz, & M. Yazid Abu (Eds.), iMEC-APCOMS 2019 (pp. 140-146). Springer Singapore. https://doi.org/10.1007/978-981-15-0950-6_22

Oztemel, E., & Gursev, S. (2020). A taxonomy of industry 4.0 and related technologies. Industry 4.0, 45. https://doi.org/10.5772/intechopen.86000

Pessl, E., Sorko, S. R., & Mayer, B. (2017). Roadmap Industry 4.0–implementation guideline for enterprises. International Journal of Science, Technology and Society, 5(6), 193-202.

Plattform Industrie 4.0. (2019). Shaping Industrie 4.0. Autonomous, interoperable and sustainable (p. 52) [Brochure]. Federal Ministry for Economic Affairs and Energy. https://www.plattform-i40.de/IP/Redaktion/EN/Downloads/Publikation/2019-progress-report.pdf?__blob=publicationFile&v=7

Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360-degree comparison. IEEE Access, 6, 3585-3593. https://doi.org/10.1109/ACCESS.2018.2793265

Rafael, L. D., Jaione, G. E., Cristina, L., & Ibon, S. L. (2020). An Industry 4.0 maturity model for machine tool companies. Technological forecasting and social change, 159, 120203. https://doi.org/10.1016/j.techfore.2020.120203

Schumacher, A., Nemeth, T., & Sihn, W. (2019). Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia Cirp, 79, 409-414. https://doi.org/10.1016/j.procir.2019.02.110

Stawiarska, E., Szwajca, D., Matusek, M., & Wolniak, R. (2021). Diagnosis of the maturity level of implementing Industry 4.0 solutions in selected functional areas of management of automotive companies in Poland. Sustainability, 13(9), 4867. https://doi.org/10.3390/su13094867

Zhang, Z., Li, X., Wang, X., & Cheng, H. (2017). Decentralized Cyber-Physical Systems: A Paradigm for Cloud-Based Smart Factory of Industry 4.0. En L. Thames & D. Schaefer (Eds.), Cybersecurity for Industry 4.0 (pp. 127-171). Springer International Publishing. https://doi.org/10.1007/978-3-319-50660-9_6

"Industry 4.0 readiness model designed for public research centers and universities"

Autor de correspondencia

El autor de correspodencia se identifica con el siguiente símbolo: *

Published

01-07-2024

How to Cite

López Araujo, D. J., Alvarez-Jarquin, N., & López-Araujo, A. A. (2024). Industry 4.0 readiness model designed for public research centers and universities. Transdigital, 5(10), e341. https://doi.org/10.56162/transdigital341

Issue

Section

Research reports

Categories

Most read articles by the same author(s)