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The Effect of Digitalization and Human-Centric on Companies’ Production Performances

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Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems (FAIM 2023)

Abstract

Industry 5.0 is the inclusion of humans in the production line. This is because human is now considered a prerequisite for any industry to enhance production performances. However, most of the technological enablers still do not consider the human factor in the production system and only a few articles expose the impact of human-centric approaches and digitalization on production performance. Therefore, this study applied a questionnaire-based survey approach to map out the level of digitalization and human-centric in companies of different sizes and identify the impact on production flexibility and throughput performances on the production systems. The survey was conducted using Google Forms. One of the key findings is the level of digitalization should go hand in hand with human centricity. Both the production performances of product throughput and process flexibility have an S-shape tendency where a high level of human-centric can have a positive impact on both production performances. Respondents from different sizes of enterprises in different regions of the world and job nature can have a different perception of both the degree of human-centric and digitalization. Companies should consider different human roles like managers and engineers in the human-centric framework to enhance human-centric in a more holistic approach.

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References

  1. Tatipala, S., Wall, J., Johansson, C.M., Sigvant, M.: Data-driven modelling in the era of Industry 4.0: a case study of friction modelling in sheet metal forming simulations. J. Phys.: Conf. Ser. 1063, 012135 (2018) https://doi.org/10.1088/1742-6596/1063/1/012135

  2. Chen, X., Geyer, P.: Machine assistance in energy-efficient building design: a predictive framework toward dynamic interaction with human decision-making under uncertainty. Appl. Energy 307, 118240 (2022). https://doi.org/10.1016/j.apenergy.2021.118240

    Article  Google Scholar 

  3. Sgarbossa, F., Grosse, E.H., Neumann, W.P., Battini, D., Glock, C.H.: Human factors in production and logistics systems of the future. Annu. Rev. Control. 49, 295–305 (2020). https://doi.org/10.1016/j.arcontrol.2020.04.007

    Article  Google Scholar 

  4. Kadir, B.A., Broberg, O., da Conceição, C.S.: Current research and future perspectives on human factors and ergonomics in Industry 4.0. Comput. Ind. Eng. 137, 106004 (2019). https://doi.org/10.1016/j.cie.2019.106004

  5. Leng, J., et al.: Industry 5.0: prospect and retrospect. J. Manuf. Syst. 65, 279–295 (2022). https://doi.org/10.1016/j.jmsy.2022.09.017

    Article  Google Scholar 

  6. European Commission: Industry 5.0, a transformative vision for Europe: governing systemic transformations towards a sustainable industry. Directorate General for Research and Innovation, Luxembourg (2021). https://doi.org/10.1016/j.compind.2022.103792

  7. Wan, P.K., Leirmo, T.: Human-centric zero-defect manufacturing: state-of-the-art review, perspectives, and challenges. Comput. Ind. (2023)

    Google Scholar 

  8. Liu, C., et al.: Human–machine cooperation research for navigation of maritime autonomous surface ships: a review and consideration. Ocean Eng. 246, 110555 (2022). https://doi.org/10.1016/j.oceaneng.2022.110555

    Article  Google Scholar 

  9. Powell, D., Magnanini, M.C., Colledani, M., Myklebust, O.: Advancing zero defect manufacturing: a state-of-the-art perspective and future research directions. Comput. Ind. 136, 103596 (2022). https://doi.org/10.1016/j.compind.2021.103596

    Article  Google Scholar 

  10. Psarommatis, F., May, G., Dreyfus, P.-A., Kiritsis, D.: Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research. Int. J. Prod. Res. 58, 1–17 (2020). https://doi.org/10.1080/00207543.2019.1605228

    Article  Google Scholar 

  11. Frazzon, E.M., Agostino, Í.R.S., Broda, E., Freitag, M.: Manufacturing networks in the era of digital production and operations: a socio-cyber-physical perspective. Annu. Rev. Control. 49, 288–294 (2020). https://doi.org/10.1016/j.arcontrol.2020.04.008

    Article  Google Scholar 

  12. Humayun, M.: Industrial revolution 5.0 and the role of cutting edge technologies. Int. J. Adv. Comput. Sci. Appl. 12, 605–615 (2021). https://doi.org/10.14569/IJACSA.2021.0121276

    Article  Google Scholar 

  13. Lu, Y.: The current status and developing trends of Industry 4.0: a review. Inf. Syst. Front. (2021). https://doi.org/10.1007/s10796-021-10221-w

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

    Article  Google Scholar 

  15. Peruzzini, M., Pellicciari, M.: A framework to design a human-centred adaptive manufacturing system for aging workers. Adv. Eng. Inform. 33, 330–349 (2017). https://doi.org/10.1016/j.aei.2017.02.003

    Article  Google Scholar 

  16. Kong, X.T.R., Luo, H., Huang, G.Q., Yang, X.: Industrial wearable system: the human-centric empowering technology in Industry 4.0. J Intell Manuf. 30, 2853–2869 (2019). https://doi.org/10.1007/s10845-018-1416-9

    Article  Google Scholar 

  17. Pinzone, M., et al.: A framework for operative and social sustainability functionalities in human-centric cyber-physical production systems. Comput. Ind. Eng. 139, 105132 (2020). https://doi.org/10.1016/j.cie.2018.03.028

    Article  Google Scholar 

  18. Wanasinghe, T.R., Trinh, T., Nguyen, T., Gosine, R.G., James, L.A., Warrian, P.J.: Human centric digital transformation and operator 4.0 for the oil and gas industry. IEEE Access 9, 113270–113291 (2021). https://doi.org/10.1109/ACCESS.2021.3103680

    Article  Google Scholar 

  19. Dengler, S., Lahriri, S., Trunzer, E., Vogel-Heuser, B.: Applied machine learning for a zero defect tolerance system in the automated assembly of pharmaceutical devices. Decis. Support Syst. 146, 113540 (2021). https://doi.org/10.1016/j.dss.2021.113540

    Article  Google Scholar 

  20. Cañas, H., Mula, J., Díaz-Madroñero, M., Campuzano-Bolarín, F.: Implementing Industry 4.0 principles. Comput. Ind. Eng. 158, 107379 (2021). https://doi.org/10.1016/j.cie.2021.107379

    Article  Google Scholar 

  21. Nguyen Ngoc, H., Lasa, G., Iriarte, I.: Human-centred design in industry 4.0: case study review and opportunities for future research. J. Intell. Manuf. 33(1), 35–76 (2021). https://doi.org/10.1007/s10845-021-01796-x

    Article  Google Scholar 

  22. Wang, B., Zheng, P., Yin, Y., Shih, A., Wang, L.: Toward human-centric smart manufacturing: a human-cyber-physical systems (HCPS) perspective. J. Manuf. Syst. 63, 471–490 (2022). https://doi.org/10.1016/j.jmsy.2022.05.005

    Article  Google Scholar 

  23. Sanders, A., Elangeswaran, C., Wulfsberg, J.: Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. JIEM. 9, 811 (2016). https://doi.org/10.3926/jiem.1940

    Article  Google Scholar 

  24. Forza, C.: Survey research in operations management: a process-based perspective. Int. J. Oper. Prod. Manag. 22, 152–194 (2002). https://doi.org/10.1108/01443570210414310

    Article  Google Scholar 

  25. Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., Strandhagen, J.O.: Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Ann. Oper. Res. 308(1–2), 125–143 (2020). https://doi.org/10.1007/s10479-020-03526-7

    Article  MathSciNet  Google Scholar 

  26. Mokhtarzadeh, M., Tavakkoli-Moghaddam, R., Vahedi-Nouri, B., Farsi, A.: Scheduling of human-robot collaboration in assembly of printed circuit boards: a constraint programming approach. Int. J. Comput. Integr. Manuf. 33, 460–473 (2020). https://doi.org/10.1080/0951192X.2020.1736713

    Article  Google Scholar 

  27. Tsarouchi, P., Makris, S., Chryssolouris, G.: On a human and dual-arm robot task planning method. Procedia CIRP. 57, 551–555 (2016)

    Article  Google Scholar 

  28. Castillo-Pérez, V., Carrazco-Armendáriz, L., Corral-Chacón, M., Elizondo-Rios, R.: Work team, lean manufacturing production and information systems transform an enterprise. In: Kantola, J.I., Nazir, S., Barath, T. (eds.) AHFE 2018. AISC, vol. 783, pp. 359–369. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94709-9_34

    Chapter  Google Scholar 

  29. Fragapane, G., Eleftheriadis, R., Powell, D., Antony, J.: A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance. Comput. Ind. 148, 103879 (2023)

    Google Scholar 

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Acknowledgement

This research study was funded by DAT4.ZERO (grant no. 958352). The authors extend their gratitude to the European Commission and the participating companies for enabling the study.

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Correspondence to Paul Kengfai Wan .

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Appendix

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Link to the survey and questionnaire: https://forms.office.com/r/AumEsRnPvE.

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Wan, P.K., Sølvsberg, E., Eleftheriadis, R., Fragapane, G. (2024). The Effect of Digitalization and Human-Centric on Companies’ Production Performances. In: Silva, F.J.G., Ferreira, L.P., Sá, J.C., Pereira, M.T., Pinto, C.M.A. (eds) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-38165-2_87

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  • DOI: https://doi.org/10.1007/978-3-031-38165-2_87

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