Skip to main content

The Meaning and Directions of Development of Personalized Production in the Era of Industry 4.0 and Industry 5.0

  • Conference paper
  • First Online:
Innovations in Industrial Engineering II (icieng 2022)

Abstract

Because of changing market requirements and uncommonly fast development of computerization, automation and robotization the paradigms concerning methods and techniques of manufacturing are still evaluating to make production processes more and more flexible and effective. The paper presents the issue of the importance of personalized production in the perspective of contemporary customer requirements (including personalization of available products) and technological solutions that fit into the trends of modern industrial revolutions. In particular, the article focuses on the conditions and methods of organizing the work in a modular approach with the use of solutions that are key features of Industry 4.0 and 5.0, so that they effectively carry out production orders formulated as part of individual customer orders, thus implementing mass production. As an example illustrating the issue at hand, the model of production of personalized doors and windows in a production plant belonging to a company from the SME sector was presented.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ciesla, B., Mleczko, J.: Practical application of fuzzy logic in production control systems of engineer to order SMEs. Appl. Comput. Sci. 17(1), 17–25 (2021)

    Google Scholar 

  2. Hamid, M.S.R.A., Masrom, N.R., Mazlan, N.A.B.: The key factors of the industrial revolution 4.0 in the Malaysian smart manufacturing context. Int. J. Asian Bus. Inf. Manage. 13(2), 1–19 (2022)

    Google Scholar 

  3. Antosz, K., Pasko, L., Gola, A.: The use of intelligent systems to support the decision-making process in Lean Maintenance Management. IFAC PapersOnline 52(10), 148–153 (2019)

    Article  Google Scholar 

  4. Lapunka, I., Pisz, I., Wittbrodt, P.: Stochastic scheduling of production orders under uncertainty. Adv. Intell. Syst. Comput. 649, 348–358 (2018)

    Google Scholar 

  5. Gola, A.: Economic aspects of manufacturing system design. Actual Prob. Econ. 156(6), 205–212 (2014)

    Google Scholar 

  6. Jasiulewicz-Kaczmarek, M., Zywica, P., Gola, A.: Fuzzy set theory driven maintenance sustainability performance model: a multiple criteria approach. J. Intell. Manuf. 32(5), 1497–1515 (2021)

    Google Scholar 

  7. Lin, B., Wu, W., Song, M.: Industry 4.0: driving factors and impacts on firm’s performance: an empirical study on China’s manufacturing industry. Ann. Oper. Res. 1–21 (2019). https://doi.org/10.1007/s10479-019-03433-6

  8. Antosz, K., Jasiulewicz-Kaczmarek, M., Paƛko, Ɓ., Zhang, C., Wang, S.: Application of machine learning and rough set theory in lean maintenance decision support system development. Eksploatacja i Niezawodnosc – Mainten. Reliab. 23(4), 695–708 (2021)

    Google Scholar 

  9. KƂosowski, G., Gola, A., Thibbotuwawa, A.: Computational intelligence in control of AGV multimodal systems. IFAC-PapersOnline 51(11), 1421–1427 (2018)

    Article  Google Scholar 

  10. Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Indust. Inf. Integr. 6, 1–10 (2017)

    Google Scholar 

  11. Zhang, C., Chen, Y., Chen, H., Chong, D.: Industry 4.0 and its Implementation: a Review. Inf. Syst. Front. 1–11 (2021). https://doi.org/10.1007/s10796-021-10153-5

  12. Tabim, V.M., Ayala, N.F., Frank, A.G.: Implementing vertical integration in the industry 4.0 journey: which factors influence the process of information systems adoption? Inf. Syst. Front. 1–18 (2021). https://doi.org/10.1007/s10796-021-10220-x

  13. Xu, X., Lu, Y., Vogel-Heuser, B., Wang, L.: Industry 4.0 and Industry 5.0—inception, conception and perception. J. Manufac. Syst. 61, 530–535 (2021)

    Google Scholar 

  14. Breque, M., De Nul, L., Petridis, A.: Industry 5.0 Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union, Luxembourg (2021)

    Google Scholar 

  15. Maddikunta, P.K.R., et al.: Industry 5.0: a survey on enabling technologies and potential applications. J. Indust. Inf. Integr. 26, 100257 (2021). https://doi.org/10.1016/J.JII.2021.100257

  16. Madsen, D.Ø.: An exploratory bibliometric analysis of the birth and emergence of Industry 5.0. Appl. Syst. Innov. 4(4), 87 (2021)

    Google Scholar 

  17. Demir, K.A., Döven, G., Sezen, B.: Industry 5.0 and Human-Robot Co-working. Procedia Comput. Sci. 158, 688–695 (2019)

    Google Scholar 

  18. Lu, Y., Xu, X., Wang, L.: Smart manufacturing process and system automation – a critical review of the standards and envisioned scenarios. J. Manuf. Syst. 56, 312–325 (2020)

    Article  Google Scholar 

  19. Aheleroff, S., Philip, R., Zhong, R.Y., Xu, X.: The degree of mass personalisation under Industry 4.0. Procedia CIRP 81, 1394–1399 (2019)

    Google Scholar 

  20. Jasiulewicz-Kaczmarek, M., Antosz, K., Ć»ywica, P., Mazurkiewicz, D., Sun, B., Ren, Y.: Framework of machine criticality assessment with criteria interactions. Eksploatacja i Niezawodnosc-Maint. Reliab. 23(2), 207–220 (2021)

    Article  Google Scholar 

  21. Castillo, J.F., Ortiz, J.H., VelĂĄsquez, M.F.D., Saavedra, D.F.: COBOTS in Industry 4.0: safe and efficient interaction. In: Ortiz, J.H., Vinajamuri, R.M. (eds.) Collaborative and Humanoid Robots. https://www.intechopen.com/books/10417. Accessed 02 Mar 2022

  22. Nahavandi, S.: Industry 5.0—a human-centric solution. Sustainability 11(16), 4371 (2019)

    Google Scholar 

  23. Mourtzis, D., Doukas, M., Psarommatis, F., Giannoulis, C., Michalos, G.: A web-based platform for mass customisation and personalisation. CIRP J. Manuf. Sci. Technol. 7(2), 112–128 (2014)

    Article  Google Scholar 

  24. In-depth: Industry 4.0 2021. https://www.statista.com/study/66974/in-depth-industry-40/. Accessed 02 Mar 2022

  25. Birtel, M., Ruskowski, M.: Developing and implementing human-centered information services in a modular production environment. Procedia Manufac. 51(11), 592–597 (2020)

    Article  Google Scholar 

  26. Colledani, M., Angius, A.: Integrated production and reconfiguration planning in modular plug-and-produce production systems. CIRP Ann. 68(1), 435–438 (2019)

    Article  Google Scholar 

  27. Stączek, P., PizoƄ, J., Danilczuk, W., Gola, A.: A digital twin approach for the improvement of an autonomous mobile robots (AMR’s) operating environment - a case study. Sensors 21(23), 7830 (2021)

    Article  Google Scholar 

Download references

Acknowledgments

The project/research was financed in the framework of the project Lublin University of Technology-Regional Excellence Initiative, funded by the Polish Ministry of Science and Higher Education (contract no. 030/RID/2018/19).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arkadiusz Gola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

PizoƄ, J., Gola, A. (2023). The Meaning and Directions of Development of Personalized Production in the Era of Industry 4.0 and Industry 5.0. In: Machado, J., et al. Innovations in Industrial Engineering II. icieng 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-09360-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-09360-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09359-3

  • Online ISBN: 978-3-031-09360-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics