IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v5y2024i3d10.1007_s43069-024-00360-6.html
   My bibliography  Save this article

Systemic and Cyber-Physical Methodology for the Implementation of Industry 4.0 in Mexican Automotive Manufacturing Companies

Author

Listed:
  • Lorenzo L. González Romeo

    (National Polytechnic Institute)

  • Juan Bory Reyes

    (National Polytechnic Institute)

  • Jorge A. Rojas Ramírez

    (National Polytechnic Institute)

Abstract

The transition toward the new technological paradigm in production systems resulting from Industry 4.0 (hereinafter I4.0) pursues, among its main objectives, greater operational efficiency and productivity, a greater scope of automation, customization, and flexibility in production, an increase in man–machine interaction, and the creation of more complex but better-paid jobs and new business models. For this reason, a broad understanding of what constitutes I4.0 today and what can represent the future requires knowledge about the technologies that make it up, as well as different tools that can help to carry out a correct and comprehensive implementation. The relevance of the Mexican automotive manufacturing industry in the national economy, as well as the importance of the I4.0 transition in this sector, is addressed. As a fundamental component of this work, a new methodology with a systemic character, given by the use of the Soft Systems Methodology, and with a cyber-physical character, given by the use of tools such as a reference architecture, is presented, and the tools used and its different stages are described. As an added element, an illustrative example is provided of how the application of the proposed methodology would be in an automotive manufacturing company.

Suggested Citation

  • Lorenzo L. González Romeo & Juan Bory Reyes & Jorge A. Rojas Ramírez, 2024. "Systemic and Cyber-Physical Methodology for the Implementation of Industry 4.0 in Mexican Automotive Manufacturing Companies," SN Operations Research Forum, Springer, vol. 5(3), pages 1-26, September.
  • Handle: RePEc:spr:snopef:v:5:y:2024:i:3:d:10.1007_s43069-024-00360-6
    DOI: 10.1007/s43069-024-00360-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-024-00360-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s43069-024-00360-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Riccardo Brozzi & David Forti & Erwin Rauch & Dominik T. Matt, 2020. "The Advantages of Industry 4.0 Applications for Sustainability: Results from a Sample of Manufacturing Companies," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    2. Bugra Alkan & Daniel A. Vera & Mussawar Ahmad & Bilal Ahmad & Robert Harrison, 2018. "Complexity in manufacturing systems and its measures: a literature review," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 12(1), pages 116-150.
    3. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Piccarozzi, Michela & Silvestri, Cecilia & Aquilani, Barbara & Silvestri, Luca, 2022. "Is this a new story of the ‘Two Giants’? A systematic literature review of the relationship between industry 4.0, sustainability and its pillars," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    3. Sony, Michael & Naik, Subhash, 2020. "Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model," Technology in Society, Elsevier, vol. 61(C).
    4. Axenbeck, Janna & Niebel, Thomas, 2021. "Climate Protection Potentials of Digitalized Production Processes: Microeconometric Evidence," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238007, International Telecommunications Society (ITS).
    5. Ghadimi, Pezhman & Donnelly, Oisin & Sar, Kubra & Wang, Chao & Azadnia, Amir Hossein, 2022. "The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Zbigniew Leszczyński & Tomasz Jasiński, 2020. "Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    7. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    8. Artur Pollak & Agata Hilarowicz & Maciej Walczak & Damian Gąsiorek, 2020. "A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    9. Zhou, Honggeng & Li, Ling, 2020. "The impact of supply chain practices and quality management on firm performance: Evidence from China's small and medium manufacturing enterprises," International Journal of Production Economics, Elsevier, vol. 230(C).
    10. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    11. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).
    12. Bartoloni, Sara & Calò, Ernesto & Marinelli, Luca & Pascucci, Federica & Dezi, Luca & Carayannis, Elias & Revel, Gian Marco & Gregori, Gian Luca, 2022. "Towards designing society 5.0 solutions: The new Quintuple Helix - Design Thinking approach to technology," Technovation, Elsevier, vol. 113(C).
    13. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
    14. Gupta, Shivam & Justy, Théo & Kamboj, Shampy & Kumar, Ajay & Kristoffersen, Eivind, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    15. Tao, Zhibin & Chao, Jiaxiao, 2024. "Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices," Innovation and Green Development, Elsevier, vol. 3(3).
    16. John Mugambwa Serumaga-Zake & John Andrew van der Poll, 2021. "Addressing the Impact of Fourth Industrial Revolution on South African Manufacturing Small and Medium Enterprises (SMEs)," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    17. Šilenskytė, Aušrinė & Butkevičienė, Jurgita & Bartminas, Andrius, 2024. "Blockchain-based connectivity within digital platforms and ecosystems in international business," Journal of International Management, Elsevier, vol. 30(3).
    18. Shang, Juan & Li, Pengfei & Li, Ling & Chen, Yong, 2018. "The relationship between population growth and capital allocation in urbanization," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 249-256.
    19. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    20. Zhu, Jianhua & Sun, Yanming, 2020. "Dynamic modeling and chaos control of sustainable integration of informatization and industrialization," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:snopef:v:5:y:2024:i:3:d:10.1007_s43069-024-00360-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.