Log in

Industry 4.0 maturity follow-up inside an internal value chain: a case study

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Social, economic, and technological developments are leading companies to face new production challenges. The use of information and communication technologies offers to companies physical and virtual structures, allowing cooperation and quick adaptation along all value chain. However, companies are using those technologies without a proper integration with business partners and even with internal departments. This is the research gap under analysis on this study. Using a readiness model to measure the status of the industry 4.0 enabling technologies adoption inside a company, is possible to transmite knowledge, and pathing initiatives to help on progress and monitorization. This study presents the industry 4.0 enabling technologies readiness level of three departments of one automotive company internal value chain, and discusses the limitations to reach better levels. It also presents the potential results if the benefits of industry 4.0 enabling technologies were reached on a company that assumes to be aligned with the industry 4.0 strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and materials

All datasets and datasheets used to support the discussion and conclusions on this study are available upon request to the corresponding author.

References

  1. Schumacher A, Erol S, Sihn W (2016) A maturity model for assessing Industry 40 readiness and maturity of manufacturing enterprises. Procedia CIRP 52:161–166. https://doi.org/10.1016/j.procir.2016.07.040

    Article  Google Scholar 

  2. Sanz E et al (2021) BiDrac Industry 4.0 framework: application to an automotive paint shop process. Control Eng Pract 109:104757. https://doi.org/10.1016/j.conengprac.2021.104757. https://www.sciencedirect.com/science/article/pii/S0967066121000344?via%3Dihub

  3. Neal et al (2021) The potential of industry 4.0 cyber physical system to improve quality assurance: an automotive case study for wash monitoring of returnable transit items. CIRP J Manuf Sci Technol 32:461–475. https://doi.org/10.1016/j.cirpj.2020.07.002

    Article  Google Scholar 

  4. Rüßmann M, Lorenz M, Gerbert P, Waldner M, Justus J, Engel P, Harnisch M (2015) Industry 4.0. The Boston consulting group, 1–20. https://doi.org/10.1007/s12599-014-0334-4

  5. Alcácer V, Cruz-Machado V (2019) Scanning the Industry 4.0: a literature review on technologies for manufacturing systems. Eng Sci Technol Int J 22:899–919. https://doi.org/10.1016/j.jestch.2019.01.006

    Article  Google Scholar 

  6. Hermann M, Pentek T, Otto B (2016) Design principles for industrie 4.0 scenarios. Proceedings of the annual Hawaii international conference on system sciences, 2016–March, 3928–3937. https://doi.org/10.1109/HICSS.2016.488

  7. Rodič B (2017) Industry 4.0 and the new simulation modelling paradigm. Organizacija 50:193–207. https://doi.org/10.1515/orga-2017-0017

    Article  Google Scholar 

  8. Barreto L, Amaral A, Pereira T (2017) Industry 4.0 implications in logistics: an overview. Procedia Manuf 13:1245–1252. https://doi.org/10.1016/j.promfg.2017.09.045

    Article  Google Scholar 

  9. Rojko A (2017) Industry 4.0 concept: background and overview. Int J Interact Mob Technol 11:77–90. https://doi.org/10.3991/ijim.v11i5.7072

    Article  Google Scholar 

  10. KPMG (2016) The factory of the future - Industry 4.0: the challenges of tomorrow. KPMG Website: https://assets.kpmg.com/content/dam/kpmg/pdf/2016/05/factory-future-industry-4.0.pdf. Accessed 20 Sep 2020

  11. Agostini L, Nosella A (2019) The adoption of Industry 4.0 technologies in SMEs: results of an international study. Manag Decis 4:625–643. https://doi.org/10.1108/MD-09-2018-0973

    Article  Google Scholar 

  12. Da Silva V, Kovaleski J, Pagani R, De Matos SJ, Corsi A (2020) Implementation of Industry 4.0 concept in companies: empirical evidences. Int J Comput Integr Manuf 33:325–342. https://doi.org/10.1080/0951192X.2019.1699258

    Article  Google Scholar 

  13. Pérez-Lara M, Saucedo-Martínez J, Marmolejo-Saucedo J et al (2020) Vertical and horizontal integration systems in Industry 4.0. Wirel Netw 26:4767–4775. https://doi.org/10.1007/s11276-018-1873-2

    Article  Google Scholar 

  14. Sanchez M, Exposito E, Aguilar J (2020) Industry 4.0: survey from a system integration perspective. Int J Comput Integr Manuf 33(10–11):1017–1041. https://doi.org/10.1080/0951192X.2020.1775295

    Article  Google Scholar 

  15. Wang S, Wan J, Li D, Zhang C (2016) Implementing smart factory of Industrie 4.0: an outlook. Int J Distrib Sens Netw. https://doi.org/10.1155/2016/3159805

    Article  Google Scholar 

  16. Dalenogare L, Benitez G, Ayala N, Frank A (2018) The expected contribution of Industry 4.0 technologies for industrial performance. Int J Prod Econ 204:383–394. https://doi.org/10.1016/j.ijpe.2018.08.019

    Article  Google Scholar 

  17. Santos R (2018) Proposta de modelo de avaliação de maturidade da Indústria 4.0. Instituto Superior de Engenharia de Coimbra. http://hdl.handle.net/10400.26/25346. Accessed 20 Sep 2020

  18. Hamidi S, Aziz A, Shuhidan S, Aziz A, Mokhsin M (2018) SMEs maturity model assessment of IR4.0 digital transformation. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 721–732. https://doi.org/10.1007/978-981-10-8612-0\_75

  19. Rajnai Z, Kocsis I (2018) Assessing industry 4.0 readiness of enterprises. 2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI) 225–230. https://doi.org/10.1109/SAMI.2018.8324844

  20. Mittal S et al (2018) A critical review of smart manufacturing & Industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). J Manuf Syst 49:194–214. https://doi.org/10.1016/j.jmsy.2018.10.005

    Article  Google Scholar 

  21. Leyh C, Schäffer T, Bley K, Forstenhäusler S (2016) SIMMI 4.0 – a maturity model for classifying the enterprise-wide IT and software landscape focusing on Industry 4.0. Proceedings of the 2016 Federated Conference on Computer Science and Information Systems. 8:1297–1302. https://doi.org/10.15439/2016F478

  22. Leyh C, Bley K, Schäffer T, Bay L (2017) The application of the maturity model SIMMI 4.0 in selected enterprises, 23rd Americas Conference on Information Systems, AMCIS 2017, Boston, MA, USA. http://aisel.aisnet.org/amcis2017/Enterprise/Presentations/6. Accessed 20 Sep 2020

  23. Schuh G, Anderl R, Gausemeier J, Wahlster W (2017) Industrie 4.0 maturity index – managing the digital transformation of companies, acatech - National Academy of Science and Engineering. https://en.acatech.de/publication/industrie-4-0-maturity-index-managing-the-digital-transformation-of-companies/. Accessed 15 Sep 2020

  24. De Carolis A, Macchi M, Negri E, Terzi S (2017) A maturity model for assessing the digital readiness of manufacturing companies, in advances in production management systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, Cham 13–20. https://doi.org/10.1007/978-3-319-66923-6\_2

  25. De Carolis A, Macchi M, Negri E, Terzi S (2017) Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap, 2017 International Conference on Engineering. Technology and Innovation (ICE/ITMC), 487–495. https://doi.org/10.1109/ICE.2017.8279925

  26. PwC (2018) Industry 4.0 - enabling digital operations: self-assessment. https://i4-0-self-assessment.pwc.nl/i40/landing/. Accessed 15 Sep 2020

  27. Rockwell Automation (2014) The connected enterprise maturity model. https://literature.rockwellautomation.com/idc/groups/literature/documents/wp/cie-wp002_-en-p.pdf

  28. Amaral A, Peças P (2021) A framework for assessing manufacturing SMEs Industry 4.0 maturity. Appl Sci. https://doi.org/10.3390/app11136127

    Article  Google Scholar 

  29. Lichtblau K et al (2015) Industrie 4.0 readiness. http://www.impulsstiftung.de/documents/3581372/4875823/Industrie+4.0+Readiness+IMPULS+Studie+Oktober+2015_eng.pdf/476b43ea-7181-4c47-9c56-f37d32e71817;jsessionid=584DBD355362D801559DF560C6BED082. Accessed 15 Sep 2020

  30. Jesus C, Lima R (2020) Literature search of key factors for the development of generic and specific maturity models for Industry 4.0. Appl Sci. https://doi.org/10.3390/app10175825

    Article  Google Scholar 

  31. Pessl E, Sorko S, Mayer B (2017) Roadmap Industry 4.0 – implementation guideline for enterprises. IJSTS 5:193–202. https://doi.org/10.11648/j.ijsts.20170506.14

  32. Sony M, Naik S (2020) Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. BIJ 27:2213–2232. https://doi.org/10.1108/BIJ-09-2018-0284

    Article  Google Scholar 

  33. Maasz GJ, Darwish H (2018) Towards an initiative-based industry 4.0 maturity improvement process: master drilling as a case study. S Afr J Ind Eng 29:92–107. https://doi.org/10.7166/29-3-2052

    Article  Google Scholar 

Download references

Acknowledgements

Special thanks to AISET for this good partnership; to Freepik for providing vectors/icons for some figures, available at www.flaticon.com; and to all reviewers for their valuable feedback.

Funding

This research was funded by Fundação para a Ciência e Tecnologia (FCT-MCTES) via the project UIDB/00667/2020 (UNIDEMI).

Author information

Authors and Affiliations

Authors

Contributions

Vítor Alcácer designed and coordinated this study. João Rodrigues drafted the manuscript. Helena Carvalho supervised and revised the manuscript. Virgílio Cruz-Machado supervised the project and the manuscript. All authors read and approved the manuscript.

Corresponding author

Correspondence to Vítor Alcácer.

Ethics declarations

Ethics approval

All surveyed respondents are anonymous and have given their consents to participate on this study under the General Data Protection Regulation (GDPR).

Consent to participate

All surveyed respondents have agreed on participating, and they have understood the aim of the study. All participants have given their consents to use surveyed data on this study on an anonymous manner.

Consent for publication

The publication of the manuscript is consented by all authors, which include all relevant details of this research such as figures, tables, or all relevant information to be published on The International Journal of Advanced Manufacturing Technology.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alcácer, V., Rodrigues, J., Carvalho, H. et al. Industry 4.0 maturity follow-up inside an internal value chain: a case study. Int J Adv Manuf Technol 119, 5035–5046 (2022). https://doi.org/10.1007/s00170-021-08476-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-021-08476-3

Keywords

Navigation