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Kanban System in Industry 4.0 Era: A Systematic Literature Review

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Advanced Manufacturing and Automation XI (IWAMA 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 880))

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Abstract

In the last years, many researchers and practitioners have investigated the possibility to integrate Lean Production (LP) and Industry 4.0 (I4.0) technologies. From what emerges from the literature, I4.0 technologies can boost LP practices. Based on an extensive systematic literature review where more than 300 papers were initially considered, this work provides a deep understanding of how I4.0 technologies can modify and support the LP practice of pull, specifically Kanban. The best practices available have been gathered together in this work, aiming to constitute a “catalogue” for practitioners who are facing the problem of improving the LP practice of pull to be able to cope with the today’s market requirements.

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References

  1. Ciano, M.P., Pozzi, R., Rossi, T., Strozzi, F.: How IJPR has addressed ‘lean’: a literature review using bibliometric tools. Int. J. Prod. Res. 57(15–16), 5284–5317 (2021)

    Google Scholar 

  2. Ciano, M.P., Dallasega, P., Orzes, G., Rossi, T.: One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study. Int. J. Prod. Res. 59(5), 1386–1410 (2021)

    Article  Google Scholar 

  3. Kovács, G.: Combination of Lean value-oriented conception and facility layout design for even more significant efficiency improvement and cost reduction. Int. J. Prod. Res. 58(10), 2916–2936 (2020)

    Article  Google Scholar 

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

    Google Scholar 

  5. Sgarbossa, F., Peron, M., Fragapane, G.: Cloud material handling systems: conceptual model and cloud-based scheduling of handling activities. In: Sokolov, B., Ivanov, D., Dolgui, A. (eds.) Scheduling in Industry 4.0 and Cloud Manufacturing. ISORMS, vol. 289, pp. 87–101. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43177-8_5

    Chapter  Google Scholar 

  6. Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., Strandhagen, J.: Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Ann. Oper. Res., 1–19 (2020). https://doi.org/10.1007/s10479-020-03526-7

  7. Peron, M., Fragapane, G., Sgarbossa, F., Kay, M.: Digital facility layout planning. Sustainability 12(8), 3349 (2020)

    Article  Google Scholar 

  8. Sgarbossa, F., Peron, M., Lolli, F., Balugani, E.: Conventional or additive manufacturing for spare parts management: an extensive comparison for Poisson demand. Int. J. Prod. Econ. 233, 107993 (2021)

    Article  Google Scholar 

  9. Simonetto, M., Peron, M., Fragapane, G., Sgarbossa, F.: Digital assembly assistance system in Industry 4.0 era: a case study with projected augmented reality. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds.) IWAMA 2020. LNEE, vol. 737, pp. 644–651. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-6318-2_80

    Chapter  Google Scholar 

  10. Peron, M., Sgarbossa, F., Strandhagen, J.O.: Decision support model for implementing assistive technologies in assembly activities: a case study. Int. J. Prod. Res., 1–27 (2020)

    Google Scholar 

  11. Roda, I., Arena, S., Macchi, M., Orrù, P. F.: Total cost of ownership driven methodology for predictive maintenance implementation in industrial plants. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 315–322. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_40

    Chapter  Google Scholar 

  12. Orrù, P.F., Zoccheddu, A., Sassu, L., Mattia, C., Cozza, R., Arena, S.: Machine learning approach using MLP and SVM algorithms for the fault prediction of a centrifugal pump in the oil and gas industry. Sustain 12(11), 4776 (2020)

    Article  Google Scholar 

  13. Arena, S., Roda, I., Chiacchio, F.: Integrating modelling of maintenance policies within a stochastic hybrid automaton framework of dynamic reliability. Appl. Sci. 11(5), 1–18 (2021)

    Article  Google Scholar 

  14. Kolberg, D., Zühlke, D.: Lean automation enabled by Industry 4.0 technologies. In: IFAC-PapersOnLine, pp. 1870–1875. Elsevier (2015)

    Google Scholar 

  15. Saxby, R., Cano-Kourouklis, M., Viza, E.: An initial assessment of Lean Management methods for Industry 4.0. TQM J. 32(4), 587–601 (2020)

    Article  Google Scholar 

  16. Peron, M., Alfnes, E., Sgarbossa, F.: Best practices of just-in-time 4.0: multi case study analysis. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds.) IWAMA 2020. LNEE, vol. 737, pp. 636–643. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-6318-2_79

    Chapter  Google Scholar 

  17. Tranfield, D., Denyer, D., Smart, P.: Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 14(3), 207–222 (2003)

    Article  Google Scholar 

  18. Hofmann, E., Rüsch, M.: Industry 4.0 and the current status as well as future prospects on logistics. Comput. Ind. 89, 23–34 (2017)

    Article  Google Scholar 

  19. Mayr, A., et al.: Lean 4.0 - a conceptual conjunction of lean management and Industry 4.0. Procedia CIRP 72, 622–628 (2018)

    Article  Google Scholar 

  20. Ayabakan, M., Yilmaz, E.: Digitalization of the kanban system. In: PICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. (2019)

    Google Scholar 

  21. Tissir, S., Fezazi, S.El., Cherrafi, A.: Industry 4.0 impact on Lean Manufacturing: literature review. In: 2020 13th International Colloquium of Logistics and Supply Chain Management, LOGISTIQUA 2020. Institute of Electrical and Electronics Engineers Inc. (2020)

    Google Scholar 

  22. Núñez-Merino, M., Maqueira-Marín, J.M., Moyano-Fuentes, J., Martínez-Jurado, P.J.: Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review. Int. J. Prod. Res. 58(16), 5034–5061 (2020)

    Article  Google Scholar 

  23. Rosin, F., Forget, P., Lamouri, S., Pellerin, R.: Impacts of Industry 4.0 technologies on Lean principles. Int. J. Prod. Res. 58(6), 1644–1661 (2020)

    Article  Google Scholar 

  24. Tortorella, G., Sawhney, R., Jurburg, D., de Paula, I.C., Tlapa, D., Thurer, M.: Towards the proposition of a Lean Automation framework: integrating Industry 4.0 into Lean Production. J. Manuf. Technol. Manag. 32(3), 593–620 (2020)

    Article  Google Scholar 

  25. Valamede, L.S., Santos Akkari, A.C.: Lean manufacturing and Industry 4.0: a holistic integration perspective in the industrial context. In: International Conference on Industrial Technology and Management. Institute of Electrical and Electronics Engineers (IEEE), pp. 63–68 (2020)

    Google Scholar 

  26. Ghobakhloo, M., Fathi, M.: Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing. J. Manuf. Technol. Manag. 31(1), 1–30 (2019)

    Article  Google Scholar 

  27. Ejsmont, K., Gladysz, B., Corti, D., Castaño, F., Mohammed, W.M., Martinez Lastra, J.L.: Towards ‘Lean Industry 4.0’–Current Trends and Future Perspectives, vol. 7, p. 1781995. Cogent Business and Management, Cogent (2020)

    Google Scholar 

  28. Majiwala, H., Sharma, S., Gandhi, P.: Lean and Industry 4.0 strive to create smart factory through integration of systems: an exploratory review. In: Nain, N., Vipparthi, S.K. (eds.) ICIoTCT. AISC, vol. 1122, pp. 184–195. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39875-0_20

    Chapter  Google Scholar 

  29. 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. Prod. Manag. 39(6/7/8), 860–886 (2019)

    Google Scholar 

  30. Bittencourt, V., Saldanha, F., Alves, A., Leão, C.: Contributions of lean thinking principles to foster Industry 4.0 and sustainable development goals. In: Alves, A.C., Kahlen, F.-J., Flumerfelt, S., Siriban-Manalang, A.B. (eds.) Lean Engineering for Global Development, pp. 129–159. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-13515-7_5

    Chapter  Google Scholar 

  31. Pereira, A.C., Dinis-Carvalho, J., Alves, A.C., Arezes, P.: How Industry 4.0 can enhance lean practices. FME Trans. 47(4), 810–822 (2019)

    Article  Google Scholar 

  32. Longo, F., Nicoletti, L., Padovano, A.: Smart operators in industry 4.0: a human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Comput. Ind. Eng. 113, 144–159 (2017)

    Article  Google Scholar 

  33. Romero, D., Gaiardelli, P., Powell, D., Wuest, T., Thürer, M.: Digital lean cyber-physical production systems: the emergence of digital lean manufacturing and the significance of digital waste. In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IAICT, vol. 535, pp. 11–20. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99704-9_2

    Chapter  Google Scholar 

  34. Kolberg, D., Knobloch, J., Zühlke, D.: Towards a lean automation interface for workstations. Int. J. Prod. Res. 55(10), 2845–2856 (2017)

    Article  Google Scholar 

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

    Article  Google Scholar 

  36. Sanders, A., Subramanian, K.K., Redlich, T., Wulfsberg, J.: Industry 4.0 and lean management – synergy or contradiction? In: Lödding, H., Riedel, R., Thoben, K.-D., von Cieminski, G., Kiritsis, D. (eds.) APMS 2017. IAICT, vol. 514, pp. 341–349. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66926-7_39

    Chapter  Google Scholar 

  37. Buer, S.V., Fragapane, G.I., Strandhagen, J.O.: The data-driven process improvement cycle: using digitalization for continuous improvement. IFAC-PapersOnLine 51(11), 1035–1040 (2018)

    Article  Google Scholar 

  38. Shahin, M., Chen, F.F., Bouzary, H., Krishnaiyer, K.: Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises. Int. J. Adv. Manuf. Technol. 107(5–6), 2927–2936 (2020). https://doi.org/10.1007/s00170-020-05124-0

    Article  Google Scholar 

  39. Pekarcikova, M., Trebuna, P., Kliment, M., Rosocha, L.: Material flow optimization through e-Kanban system simulation. Int. J. Simul. Model. 19, 243–254 (2020)

    Article  Google Scholar 

  40. Valamede, L.S., Cristina, A., Akkari, S.: Lean 4.0: a new holistic approach for the integration of lean manufacturing tools and digital technologies. Int. J. Math. Eng. Manag. Sci. 5(5), 851–868 (2020)

    Google Scholar 

  41. Chiarini, A., Kumar, M.: Lean six sigma and Industry 4.0 integration for operational excellence: evidence from Italian manufacturing companies. Prod. Plan. Control 32, 1084–1101 (2020)

    Article  Google Scholar 

  42. Pekarčíková, M., Trebuňa, P., Kliment, M.: Digitalization effects on the usability of lean tools. Acta Logist. 6(1), 9–13 (2019)

    Article  Google Scholar 

  43. Slim, R., Rémy, H., Amadou, C.: Convergence and contradiction between lean and industry 4.0 for inventive design of smart production systems. In: Cavallucci, D., De Guio, R., Koziołek, S. (eds.) TFC 2018. IAICT, vol. 541, pp. 141–153. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02456-7_12

    Chapter  Google Scholar 

  44. Mrugalska, B., Wyrwicka, M.K.: Towards lean production in Industry 4.0. In: Procedia Engineering, pp. 466–473. Elsevier Ltd. (2017)

    Google Scholar 

  45. Goienetxea Uriarte, A., Ng, A.H.C., Urenda, M.M.: Bringing together Lean and simulation: a comprehensive review. Int. J. Prod. Res. 58, 87–117 (2020)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, S P Andersens V 3, 7031, Trondheim, Norway

    Mirco Peron, Erlend Alfnes & Fabio Sgarbossa

Authors
  1. Mirco Peron
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  2. Erlend Alfnes
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  3. Fabio Sgarbossa
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Corresponding author

Correspondence to Mirco Peron .

Editor information

Editors and Affiliations

  1. School of Business, Plymouth University, Plymouth, UK

    Yi Wang

  2. Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, Gjøvik, Norway

    Kristian Martinsen

  3. Shanghai University of Engineering Science, Shanghai, China

    Tao Yu

  4. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway

    Kesheng Wang

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Peron, M., Alfnes, E., Sgarbossa, F. (2022). Kanban System in Industry 4.0 Era: A Systematic Literature Review. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_2

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