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Effects of Lean and Industry 4.0 Technologies on Job Satisfaction: A Case-Based Analysis

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Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (APMS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 689))

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Abstract

The scarce presence of studies on the role of Digital Lean on the social dimension of sustainability calls for the need to conduct further studies and research to better understand how the integration of the aspects belonging to the Lean Management and Industry 4.0 fields can cope with the issue raised. Combining the notions arising from a review of the scientific literature on the mentioned topics with those resulting from a business case where a Digital Lean program has been implemented, this article provides an analysis of the main effects regarding the integration between the Lean paradigm and digital technologies from a social perspective, assessed through job satisfaction determinants. The results, mapped in an ad-hoc created reference model which merges the main characteristic dimensions of Lean Manufacturing and Industry 4.0, show that the adoption of digital technologies promotes autonomy and upskilling process of operators, just as much as it improves feedback, thus contributing to greater job satisfaction. Nevertheless, the research underlines that such benefits can be dampened whenever digital wastes, high technology costs and a different sensitivity between management and shopfloor operators occur, leading to a strong discouragement among personnel.

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References

  1. Callan, S.J., Thomas, J.M.: Environmental Economics and Management: Theory, Policy, and Applications. 6th edn. South Western Cengage learning, Mason, OH (1999)

    Google Scholar 

  2. Grin, J., Rotmans, J., Schot, J.: Transitions to Sustainable Development: New Directions in the Study of Long Term Transformative Change, 1st edn. Routledge, New York, NY (2010)

    Book  Google Scholar 

  3. Powell, D.J., Romero, D., Gaiardelli, P.: New and renewed manufacturing paradigms for sustainable production. Sustainability 14(1279) (2022)

    Google Scholar 

  4. Sundar, R., Balaji, A.N., Kumar, R.S.: A review on lean manufacturing implementation techniques. Procedia Eng. 97, 1875–1885 (2014)

    Article  Google Scholar 

  5. Belekoukias, I., Garza-Reyes, J.A., Kumar, V.: The impact of lean methods and tools on the operational performance of manufacturing organisations. Int. J. Prod. Res. 52(18), 5346–5366 (2014)

    Article  Google Scholar 

  6. Gaiardelli, P., Resta, B., Dotti, S.: Exploring the role of human factors in lean management. Int. J. Lean Six Sigma 10(1), 339–366 (2019)

    Article  Google Scholar 

  7. Sanders, A., Elangeswaran, C., Wulfsberg, J.P.: Industry 4.0 implies lean manufacturing: research activities in industry 4.0 function as enablers for lean manufacturing. J. Indust. Eng. Manage. 9(3), 811–833 (2016)

    Google Scholar 

  8. Yilmaz, A., Dora, M., Hezarkhani, B., Kumar, M.: Lean and industry 4.0: mapping determinants and barriers from a social, environmental, and operational perspective. Technol. Forecast. Soc. Change 175, 121320 (2022)

    Google Scholar 

  9. Cherrafi, A., Elfezazi, S., Chiarini, A., Mokhlis, A., Benhida, K.: The integration of lean manufacturing, Six Sigma and sustainability: a literature review and future research directions for developing a specific model. J. Clean. Prod. 139, 828–846 (2016)

    Article  Google Scholar 

  10. Kamble, S., Gunasekaran, A., Dhone, N.C.: Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies. Int. J. Product. Res. 58(5), 1319–1337 (2020)

    Google Scholar 

  11. Veleva, V., Ellenbecker, M.: Indicators of sustainable production: framework and methodology. J. Clean. Prod. 9(6), 519–549 (2001)

    Article  Google Scholar 

  12. Bokhorst, J.A., Knol, W., Slomp, J., Bortolotti, T.: Assessing to what extent smart manufacturing builds on lean principles. Int. J. Prod. Econ. 253, 108599 (2022)

    Article  Google Scholar 

  13. Dillinger, F., Bergermeier, J., Reinhart, G.: Implications of digital lean methods on relevant target dimensions: time, cost, quality, employee involvement, and flexibility. Procedia CIRP 107, 202–208 (2022)

    Article  Google Scholar 

  14. Digalwar, A.K., Dambhare, S., Saraswat, S.: Social sustainability assessment framework for indian manufacturing industry. Mater. Today Proc. 28, 591–598 (2020)

    Article  Google Scholar 

  15. Pang, Q., Fang, M., Wang, L., Mi, K., Su, M.: Increasing couriers’ job satisfaction through social-sustainability practices: perceived fairness and psychological-safety perspectives. Behav. Sci. 13(2), 125 (2023)

    Article  Google Scholar 

  16. Kaya, E.: Job satisfaction of the librarians in the developing countries. In: 61st IFLA General Conference (1995)

    Google Scholar 

  17. Hancock, J.I., Allen, D.G., Bosco, F.A., McDaniel, K.R., Pierce, C.A.: Meta-analytic review of employee turnover as a predictor of firm performance. J. Manag. 39(3), 573–603 (2013)

    Google Scholar 

  18. Yang, M.G.M., Hong, P., Modi, S.B.: Impact of lean manufacturing and environmental management on business performance: an empirical study of manufacturing firms. Int. J. Prod. Econ. 129(2), 251–261 (2011)

    Article  Google Scholar 

  19. Shah, R., Ward, P.T.: Lean manufacturing: context, practice bundles, and performance. J. Oper. Manag. 21, 129–149 (2003)

    Article  Google Scholar 

  20. Womack, J.P., Jones, D.T.: Lean thinking–banish waste and create wealth in your corporation. J. Oper. Res. Soc. 48(11), 1148 (1997)

    Article  Google Scholar 

  21. Sugimori, Y., Kusunoky, K., Cho, F., Uchikawa, S.: Toyota production system and Kanban system: materialisation of just-in-time and respect-for-human system. Int. J. Product. Res. 15(6), 553–564 (1977)

    Article  Google Scholar 

  22. Dorota Rymaszewska, A.: The challenges of lean manufacturing implementation in SMEs. Benchmark. Int. J. 21(6), 987–1002 (2014)

    Google Scholar 

  23. Janjić, V., Todorović, M., Jovanović, D.: Key success factors and benefits of Kaizen implementation. Eng. Manag. J. 32(2), 98–106 (2020)

    Article  Google Scholar 

  24. Romero, D., Gaiardelli, P., Wuest, T., Powell, D., Thürer, M.: New forms of Gemba walks and their digital tools in the digital lean manufacturing world. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 592, pp. 432–440. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57997-5_50

  25. Cimini, C., Lagorio, A., Gaiardelli, P.: The evolution of operators’ role in production: how Lean Manufacturing and Industry 4.0 affect Job Enlargement and Job Enrichment. Int. J. Product. Res. 1–19 (2022)

    Google Scholar 

  26. Wagner, T., Herrmann, C., Thiede, S.: Industry 4.0 impacts on lean production systems. Procedia Cirp 63, 125–131 (2017)

    Google Scholar 

  27. Butt, J.: A strategic roadmap for the manufacturing industry to implement industry 4.0. Designs 4(2), 11 (2020)

    Google Scholar 

  28. Guala, F.: Models, simulations, and experiments. In: Magnani, L., Neressian, N.J. (eds.) Model-Based Reasoning, pp. 59–74. Springer, Boston, MA (2002)

    Chapter  Google Scholar 

  29. Stock, T., Seliger, G.: Opportunities of sustainable manufacturing in industry 4.0. Procedia Cirp 40, 536–541 (2016)

    Google Scholar 

  30. Kim, W.G., Leong, J.K., Lee, Y.K.: Effect of service orientation on job satisfaction, organizational commitment, and intention of leaving in a casual dining chain restaurant. Int. J. Hosp. Manag. 24(2), 171–193 (2005)

    Article  Google Scholar 

  31. Griffin, M.A., Patterson, M.G., West, M.A.: Job satisfaction and teamwork: the role of supervisor support. J. Organ. Behav. Int. J. Indust. Occup. Organiz. Psychol. Behav. 22(5), 537–550 (2001)

    Google Scholar 

  32. Lam, T., Zhang, H., Baum, T.: An investigation of employees’ job satisfaction: the case of hotels in Hong Kong. Tour. Manage. 22(2), 157–165 (2001)

    Article  Google Scholar 

  33. Linz, S.J.: Job satisfaction among Russian workers. Int. J. Manpow. 24(6), 626–652 (2003)

    Article  Google Scholar 

  34. Giri, V.N., Pavan Kumar, B.: Assessing the impact of organizational communication on job satisfaction and job performance. Psychol. Stud. 55(2), 137–143 (2010)

    Article  Google Scholar 

  35. Gioia, D.A., Corley, K.G., Hamilton, A.L.: Seeking qualitative rigor in inductive research: notes on the Gioia methodology. Organ. Res. Methods 16(1), 15–31 (2013)

    Article  Google Scholar 

  36. Tortorella, G.L., Giglio, R., Van Dun, D.H.: Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. Int. J. Oper. Product. Manage. 39(6/7/8), 860–886 (2019)

    Google Scholar 

  37. Narula, S., et al.: Are Industry 4.0 technologies enablers of lean? Evidence from manufacturing industries. Int. J. Lean Six Sigma 14(1), 115–138 (2023)

    Google Scholar 

  38. Dombrowski, U., Richter, T., Krenkel, P.: Interdependencies of industry 4.0 and lean production systems: a use cases analysis. Procedia Manufac. 11, 1061–1068 (2017)

    Google Scholar 

  39. Fonda, E., Meneghetti, A.: The human-centric smed. Sustainability 14(1), 514 (2022)

    Google Scholar 

  40. Deuse, J., Dombrowski, U., Nöhring, F., Mazarov, J., Dix, Y.: Systematic combination of Lean Management with digitalization to improve production systems on the example of Jidoka 4.0. Int. J. Eng. Bus. Manage. 12 (2020)

    Google Scholar 

  41. Boudella, M.E.A., Sahin, E., Dallery, Y.: Kitting optimisation in Just-in-Time mixed-model assembly lines: assigning parts to pickers in a hybrid robot–operator kitting system. Int. J. Prod. Res. 56(16), 5475–5494 (2018)

    Article  Google Scholar 

  42. Ejsmont, K., Gladysz, B., Corti, D., Castaño, F., Mohammed, W.M., Martinez Lastra, J.L.: Towards ‘Lean Industry 4.0 ʹ- Current trends and future perspectives. Cogent Bus. Manage. 7(1), 1781995 (2020)

    Google Scholar 

  43. Tortorella, G.L., Fogliatto, F.S., Cauchick-Miguel, P. A., Kurnia, S., Jurburg, D.: Integration of Industry 4.0 technologies into total productive maintenance practices. Int. J. Product. Econ. 240, 108224 (2021)

    Google Scholar 

  44. Valamede, L.S., Akkari, A.C.S.: Lean 4.0: digital technologies as strategies to reduce waste of lean manufacturing. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. (eds.) Proceedings of the 7th Brazilian Technology Symposium (BTSym 2021). BTSym 2021. SIST, vol. 295, Springer, Cham. https://doi.org/10.1007/978-3-031-08545-1_7

  45. Nicoletti, B.: Lean and automate manufacturing and logistics. In: Prabhu, V., Taisch, M., Kiritsis, D. (eds.) Advances in Production Management Systems. Sustainable Production and Service Supply Chains, pp. 278–285. Springer Berlin Heidelberg, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41263-9_34

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Bergamo, Bergamo, Italy

    Matteo Zanchi, Andrea Lorenzi, Matteo Prezioso & Paolo Gaiardelli

  2. SINTEF Manufacturing, Raufoss, Norway

    Daryl Powell

  3. University of South-Eastern Norway, Kongsberg, Norway

    Daryl Powell

Authors
  1. Matteo Zanchi
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  2. Andrea Lorenzi
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  3. Matteo Prezioso
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  4. Daryl Powell
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  5. Paolo Gaiardelli
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Corresponding author

Correspondence to Matteo Zanchi .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Erlend Alfnes

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Anita Romsdal

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Jan Ola Strandhagen

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Zanchi, M., Lorenzi, A., Prezioso, M., Powell, D., Gaiardelli, P. (2023). Effects of Lean and Industry 4.0 Technologies on Job Satisfaction: A Case-Based Analysis. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-031-43662-8_3

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  • DOI: https://doi.org/10.1007/978-3-031-43662-8_3

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