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A Learning Factory for Teaching the Transition from Conventional to Industry 4.0 Based Systems

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Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems (CARV 2021, MCPC 2021)

Abstract

Industries face major challenges in designing manufacturing systems that are able to respond to changing customer requirements quickly, while keeping product quality and process technologies up to date. Higher education in the field of Engineering must recognize the needs of industries to face the current challenges, enabling graduates to assist companies in establishing manufacturing systems based on industry 4.0 technologies. This paper presents an approach proposal for teaching the transition from conventional to industry 4.0 based systems, which will be applied to the Engineering graduation courses at the Federal University of Itajubá. The approach is based on the learning system MPS®200 of Festo Didactic acquired by the university to compose the Production Systems Lab. The problem-based learning (PBL) methodology will be used to prepare students for real world problems.

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References

  1. Xu, L., Xu, E.L., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 1–22 (2018)

    Google Scholar 

  2. Frank, A.G., Delanogare, L.S., Ayala, N.F.: Industry 4.0 technologies: implementation patterns in manufacturing companies. Int. J. Prod. Econ. 210, 15–26 (2019)

    Google Scholar 

  3. Brunoe, T.D., Mortensen, S.T., Andersen, A.L., Nielsen, K.: Learning factory with product configurator for teaching product family modelling and systems integration. Procedia Manuf. 28, 70–75 (2019)

    Article  Google Scholar 

  4. Madsen, O., Møller, C.: The AAU smart production laboratory for teaching and research in emerging digital manufacturing technologies. Procedia Manuf. 9, 106–112 (2017)

    Article  Google Scholar 

  5. Abele, E., et al.: Learning factories for future oriented research and education in manufacturing. CIRP Ann. - Manuf. Technol. 66, 803–826 (2017)

    Google Scholar 

  6. ElMaraghy, H., Moussa, M., ElMaraghy, W., Abbas, M.: Integrated product/system design and planning for new product family in a changeable learning factory. Procedia Manuf. 9, 65–72 (2017)

    Article  Google Scholar 

  7. Pasek, Z.J., Koren, Y., Segall, S.: Manufacturing in a global context: a graduate course on agile, reconfigurable manufacturing. Int. J. Eng. Educ. 20, 742–753 (2004)

    Google Scholar 

  8. Salah, B., Darmoul, S.: Engineering technology education based on the reconfigurable manufacturing paradigm: a case study. Procedia Manuf. 23, 87–92 (2018)

    Article  Google Scholar 

  9. Enke, J., Glass, R., Metternich, J.: Introducing a maturity model for learning factories. Procedia Manuf. 9, 1–8 (2017)

    Article  Google Scholar 

  10. Amin, F.M., Rezayati, M., van de Venn, H.W., Karimpour, H.: A mixed-perception approach for safe human-robot collaboration in industrial automation. Sens. (Switzerland) 20, 1–20 (2020)

    Google Scholar 

  11. Zheng, P., et al.: Smart manufacturing systems for Industry 4.0: conceptual framework, scenarios, and future perspectives. Front. Mech. Eng. 13, 137–150 (2018)

    Google Scholar 

  12. Kanet, J.J., Barut, M.: Problem-based learning for production and operations management. Decis. Sci. J. Innov. Educ. 1, 99–118 (2003)

    Article  Google Scholar 

  13. Andersen, A.L., Brunoe, T.D., Nielsen, K.: Engineering education in changeable and reconfigurable manufacturing: using problem-based learning in a learning factory environment. Procedia CIRP 81, 7–12 (2019)

    Article  Google Scholar 

  14. Tisch, M., Laudemann, H., Kreß, A., Metternich, J.: Utility-based configuration of learning factories using a multidimensional. Multiple-choice Knapsack Probl. Procedia Manuf. 9, 25–32 (2017)

    Google Scholar 

  15. Festo homepage. http://www.festo.com. Accessed 26 Feb 2021

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Correspondence to Isabela Maganha .

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Maganha, I., Pereira, T.F., Pugliese, L.F., Santos, A.C.O., Andersen, AL. (2022). A Learning Factory for Teaching the Transition from Conventional to Industry 4.0 Based Systems. In: Andersen, AL., et al. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV MCPC 2021 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90700-6_103

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  • DOI: https://doi.org/10.1007/978-3-030-90700-6_103

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90699-3

  • Online ISBN: 978-3-030-90700-6

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