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Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis

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Sustainable Design and Manufacturing (KES-SDM 2021)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 262))

Abstract

The ongoing fourth industrial revolution, also known as Industry 4.0, was first introduced in 2011 at the Hannover Fair in Germany. Nowadays, such paradigm still represents a hot topic in the field of industrial engineering, with the aim to boot a radical transformation of the companies through the implementation of a set of new concepts and technologies, as Internet of Things (IoT), Augmented Reality (AR) and Big Data Analytics. Globally, companies all over the world expect to experience relevant benefits by implementing such emerging principles in terms of technical, economic, environmental and ergonomic performances. After providing a structured definition of the Industry 4.0 and a classification and description of its main enabling technologies, the aim of this paper is to perform a critical assessment about the Industry 4.0 principles implementation focusing on the three main transport sectors: automotive, aeronautical and railway, highlighting the most widespread technologies and the developed applications. The present paper provides valuable knowledge to support researchers and business practitioners in understanding the current implementation level of Industry 4.0 principles in the aforementioned sectors, supporting them in identifying the most compelling goals to be achieved in the near future.

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References

  1. Li, Y., Dai, J., Cui, L.: The impact of digital technologies on economic and environmental performance in the context of Industry 4.0: a moderated mediation model. Int. J. Prod. Econ. 229, 107777 (2020)

    Google Scholar 

  2. Bortolini, M., Galizia, F.G., Mora, C.: Reconfigurable manufacturing systems: literature review and research trend. J. Manuf. Syst. 49, 93–106 (2018)

    Article  Google Scholar 

  3. Bortolini, M., Faccio, M., Galizia, F.G., Gamberi, M., Pilati, F.: Adaptive automation assembly systems in the Industry 4.0 era: a reference framework and full-scale prototype. Appl. Sci. 11(3), 1256 (2021)

    Google Scholar 

  4. Chukalov, K.: Horizontal and vertical integration, as a requirement for cyber-physical systems in the context of Industry 4.0. Industry 4.0 2(4), 155–157 (2017)

    Google Scholar 

  5. Yuan, X.M.: Impact of Industry 4.0 on inventory systems and Optimization. In: Industry 4.0 – Impact on Intelligent Logistics and Manufacturing. IntechOpen (2020)

    Google Scholar 

  6. Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., Barbaray, R.: The industrial management of SMEs in the era of Industry 4.0. Int. J. Prod. Res. 56(3), 1118–1136 (2018)

    Google Scholar 

  7. Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A.B.L., Rajak, S.: Barriers to the adoption of Industry 4.0 technologies in the manufacturing sector: an inter-country comparative perspective. Int. J. Prod. Econ. 224, 107546 (2020)

    Google Scholar 

  8. Consortium II. Fact Sheet (2013). http://www.iiconsortium.org/docs/IIC_FACT_SHEET.pdf

  9. Schumacher, A., Erol, S., Sihn, W.: A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP 52, 161–166 (2016)

    Google Scholar 

  10. Wang, S., Wan, J., Li, D., Zhang, C.: Implementing smart factory of Industrie 4.0: an outlook. Int. J. Distrib. Sensor Networks 6(2), 1–10 (2016)

    Google Scholar 

  11. Bigliardi, B., Bottani, E., Casella, G.: Enabling technologies, application areas and impact of Industry 4.0: a bibliographic analysis. Procedia Manuf. 42, 322–326 (2020)

    Google Scholar 

  12. Wan, J., Cai, H., Zhou, K.: Industrie 4.0: enabling technologies. In: Proceedings of the IEEE International Conference on Intelligent Computing and Internet of Things, pp. 135–140. IEEE, Harbin (2010)

    Google Scholar 

  13. Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., Zuhlke, D.: Future modeling and simulation of CPS-based factories: an example from the automotive industry. Ifac-PapersOnLine 49(31), 97–102 (2016)

    Article  Google Scholar 

  14. Juhász, J., Bányai, T.: What Industry 4.0 means for just-in-sequence supply in automotive industry? In: Jármai, K., Bolló, B. (eds.) VAE 2018. LNME, pp. 226–240. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75677-6_19

    Chapter  Google Scholar 

  15. Bysko, S., Krystek, J., Bysko, S.: Automotive paint shop 4.0. Comput. Ind. Eng. 139, 105546 (2020)

    Google Scholar 

  16. Bysko, S., Krystek, J., Bysko, S., Lenort, R.: Buffer management in solving a real sequencing problem in the automotive industry-paint shop 4.0 concept. Arch. Control Sci. 29, 507–527 (2019)

    Google Scholar 

  17. Sanz, E., Blesa, J., Puig, V.: BiDrac Industry 4.0 framework: application to an automotive paint shop process. Control Eng. Pract. 109, 104757 (2021)

    Google Scholar 

  18. Vorraber, W., Gasser, J., Webb, H., Neubacher, D., Url, P.: Assessing augmented reality in production: remote-assisted maintenance with HoloLens. Procedia CIRP 88, 139–144 (2020)

    Article  Google Scholar 

  19. Lima, J.P., et al.: Markerless tracking system for augmented reality in the automotive industry. Expert Syst. Appl. 82, 100–114 (2017)

    Article  Google Scholar 

  20. Guyon, I., Amine, R., Tamayo, S., Fontane, F.: Analysis of the opportunities of Industry 4.0 in the aeronautical sector. In: 10th International Multi-Conference on Complexity, Informatics and Cybernetics (2019)

    Google Scholar 

  21. Ceruti, A., Marzocca, P., Liverani, A., Bil, C.: Maintenance in aeronautics in an Industry 4.0 context: the role of augmented reality and additive manufacturing. J. Comput. Des. Eng. 6(4), 516–526 (2019)

    Google Scholar 

  22. D’Anniballe, A., Silva, J., Marzocca, P., Ceruti, A.: The role of augmented reality in air accident investigation and practitioner training. Reliab. Eng. Syst. Saf. 204, 107149 (2020)

    Article  Google Scholar 

  23. Fraga-Lamas, P., Fernandez-Carames, T.M., Castedo, L.: Towards the Internet of smart trains: a review on industrial IoT-connected railways. Sensors 17(6), 1457 (2017)

    Article  Google Scholar 

  24. Gerhatova, Z., Zitricky, V., Klapita, V.: Industry 4.0 implementation options in railway transport. Transp. Res. Procedia 53, 23–30 (2021)

    Google Scholar 

  25. Lin, J.J., Kumar, U.: IN2CLOUD: a novel concept for collaborative management of big railway data. Front. Eng. Manag. 4(4), 428–436 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Alma Mater Studiorum - University of Bologna, Viale del Risorgimento 2, 40136, Bologna, Italy

    Marco Bortolini, Francesca Calabrese, Francesco Gabriele Galizia, Cristina Mora & Valentina Ventura

Authors
  1. Marco Bortolini
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  2. Francesca Calabrese
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  3. Francesco Gabriele Galizia
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  4. Cristina Mora
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  5. Valentina Ventura
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Corresponding author

Correspondence to Francesco Gabriele Galizia .

Editor information

Editors and Affiliations

  1. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Steffen G. Scholz

  2. KES International, Shoreham-by-Sea, UK

    Robert J. Howlett

  3. Cardiff University, Cardiff, UK

    Rossi Setchi

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Bortolini, M., Calabrese, F., Galizia, F.G., Mora, C., Ventura, V. (2022). Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing. KES-SDM 2021. Smart Innovation, Systems and Technologies, vol 262. Springer, Singapore. https://doi.org/10.1007/978-981-16-6128-0_14

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  • DOI: https://doi.org/10.1007/978-981-16-6128-0_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6127-3

  • Online ISBN: 978-981-16-6128-0

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