IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v37y2017i6p750-760.html
   My bibliography  Save this article

A Big Data system supporting Bosch Braga Industry 4.0 strategy

Author

Listed:
  • Santos, Maribel Yasmina
  • Oliveira e Sá, Jorge
  • Andrade, Carina
  • Vale Lima, Francisca
  • Costa, Eduarda
  • Costa, Carlos
  • Martinho, Bruno
  • Galvão, João

Abstract

People, devices, infrastructures and sensors can constantly communicate exchanging data and generating new data that trace many of these exchanges. This leads to vast volumes of data collected at ever increasing velocities and of different variety, a phenomenon currently known as Big Data. In particular, recent developments in Information and Communications Technologies are pushing the fourth industrial revolution, Industry 4.0, being data generated by several sources like machine controllers, sensors, manufacturing systems, among others. Joining volume, variety and velocity of data, with Industry 4.0, makes the opportunity to enhance sustainable innovation in the Factories of the Future. In this, the collection, integration, storage, processing and analysis of data is a key challenge, being Big Data systems needed to link all the entities and data needs of the factory. Thereby, this paper addresses this key challenge, proposing and implementing a Big Data Analytics architecture, using a multinational organisation (Bosch Car Multimedia – Braga) as a case study. In this work, all the data lifecycle, from collection to analysis, is handled, taking into consideration the different data processing speeds that can exist in the real environment of a factory (batch or stream).

Suggested Citation

  • Santos, Maribel Yasmina & Oliveira e Sá, Jorge & Andrade, Carina & Vale Lima, Francisca & Costa, Eduarda & Costa, Carlos & Martinho, Bruno & Galvão, João, 2017. "A Big Data system supporting Bosch Braga Industry 4.0 strategy," International Journal of Information Management, Elsevier, vol. 37(6), pages 750-760.
    • Handle: RePEc:eee:ininma:v:37:y:2017:i:6:p:750-760
    DOI: 10.1016/j.ijinfomgt.2017.07.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401217306023
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2017.07.012?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. Henning Kagermann, 2015. "Change Through Digitization—Value Creation in the Age of Industry 4.0," Springer Books, in: Horst Albach & Heribert Meffert & Andreas Pinkwart & Ralf Reichwald (ed.), Management of Permanent Change, edition 127, chapter 2, pages 23-45, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    2. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    3. Tseng, Hsiao-Ting, 2023. "Customer-centered data power: Sensing and responding capability in big data analytics," Journal of Business Research, Elsevier, vol. 158(C).
    4. Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    5. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    6. Brodny, Jarosław & Tutak, Magdalena, 2023. "Assessing the level of digital maturity in the Three Seas Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    7. Sonntag, Martin & Mehmann, Jens & Teuteberg, Frank, 2021. "Application of Industry 4.0 in the automotive sector," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 151-182, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    8. Fernandes, Marta & Canito, Alda & Bolón-Canedo, Verónica & Conceição, Luís & Praça, Isabel & Marreiros, Goreti, 2019. "Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry," International Journal of Information Management, Elsevier, vol. 46(C), pages 252-262.

    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. Michael Vössing & Niklas Kühl & Matteo Lind & Gerhard Satzger, 2022. "Designing Transparency for Effective Human-AI Collaboration," Information Systems Frontiers, Springer, vol. 24(3), pages 877-895, June.
    2. Mohd Syaiful Rizal Abd Hamid & Nor Ratna Masrom & Nur Athirah Binti Mazlan, 2022. "The Key Factors of the Industrial Revolution 4.0 in the Malaysian Smart Manufacturing Context," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(2), pages 1-19, August.
    3. Witold Torbacki, 2021. "A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0," Sustainability, MDPI, vol. 13(16), pages 1-35, August.
    4. Menti, Federica & Romero, David & Jacobsen, Peter, 2023. "A technology assessment and implementation model for evaluating socio-cultural and technical factors for the successful deployment of Logistics 4.0 technologies," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    5. Syed Abdul Rehman Khan & Arsalan Zahid Piprani & Zhang Yu, 2022. "Digital technology and circular economy practices: future of supply chains," Operations Management Research, Springer, vol. 15(3), pages 676-688, December.
    6. Bart Kamp & Juan José Gibaja, 2021. "Adoption of digital technologies and backshoring decisions: is there a link?," Operations Management Research, Springer, vol. 14(3), pages 380-402, December.
    7. Sarbu, Miruna, 2022. "The impact of industry 4.0 on innovation performance: Insights from German manufacturing and service firms," Technovation, Elsevier, vol. 113(C).
    8. El Merroun Mohamed & Istvan Janos Bartók & Alkhlaifat Osama, 2024. "Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 15(s1), pages 10-28.
    9. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.
    10. Zhou, Yong & Yang, Qijin & Lu, Shuo, 2023. "Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China," Technology in Society, Elsevier, vol. 75(C).
    11. Micus, Christian & Schramm, Simon & Boehm, Markus & Krcmar, Helmut, 2023. "Methods to analyze customer usage data in a product decision process:A systematic literature review," Operations Research Perspectives, Elsevier, vol. 10(C).
    12. Elisa Martina Martinelli & Maria Cristina Farioli & Annalisa Tunisini, 2021. "New companies’ DNA: the heritage of the past industrial revolutions in digital transformation," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1079-1106, December.
    13. Brauner, Philipp & Ziefle, Martina, 2022. "Beyond playful learning – Serious games for the human-centric digital transformation of production and a design process model," Technology in Society, Elsevier, vol. 71(C).
    14. Klingenberg, Cristina Orsolin & Borges, Marco Antônio Viana & Antunes, José Antônio do Vale, 2022. "Industry 4.0: What makes it a revolution? A historical framework to understand the phenomenon," Technology in Society, Elsevier, vol. 70(C).
    15. Katarzyna Jasińska, 2021. "The Digital Chasm between an Idea and Its Implementation in Industry 4.0—The Case Study of a Polish Service Company," Sustainability, MDPI, vol. 13(16), pages 1-31, August.
    16. Roberto Moro-Visconti, 2021. "Networking Digital Platforms and Healthcare Project Finance Bankability," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    17. Bettiol, Marco & Capestro, Mauro & Di Maria, Eleonora & Ganau, Roberto, 2024. "Is this time different?: how Industry 4.0 affects firms' labor productivity," LSE Research Online Documents on Economics 124545, London School of Economics and Political Science, LSE Library.
    18. Bożena Gajdzik & Sandra Grabowska & Sebastian Saniuk, 2021. "A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules," Energies, MDPI, vol. 14(4), pages 1-24, February.
    19. Radicic, Dragana & Petković, Saša, 2023. "Impact of digitalization on technological innovations in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. María del Pilar García Pachón, 2020. "Información, participación y justicia ambiental. Herramientas para alcanzar el desarrollo sostenible y la democracia ambiental," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1240, October.

    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:eee:ininma:v:37:y:2017:i:6:p:750-760. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.